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SUMMARY:BME80G Seminar - Katherine Bonini\, "Rethinking Familial Risk in Genomic Medicine: Ethical Approaches to Cascade Screening"
DESCRIPTION:Presenter: Katherine Bonini\, Senior Genetic Counselor @ Icahn School of Medicine at Mount Sinai \n  \nDescription: It has long been argued that families are central to genomic medicine. Genomic risk\, diagnosis\, and management are rarely confined to a single individual\, and separating patients’ interests from those of their relatives is often neither straightforward nor desirable. Despite this\, healthcare systems in the United States continue to operationalize care at the level of the individual. This tension is especially evident in cascade screening\, the process of identifying\, notifying\, and offering genetic testing to relatives of a proband with a hereditary condition. Cascade screening can enable earlier diagnosis\, guide preventive care\, and reduce morbidity and mortality\, but its implementation raises important ethical questions.\nIn this talk\, we will examine how current approaches to familial risk communication place responsibility on patients to notify relatives\, often resulting in incomplete reach and missed opportunities for prevention. We will then consider alternative approaches\, including system-led contact models in which health systems directly notify at-risk relatives with proband consent. Drawing on public health ethics frameworks\, we will discuss a proposed framework demonstrating how system-led models may be ethically justified when specific criteria are met\, including considerations of public input\, opt-out mechanisms\, and a focus on actionable conditions. This talk will encourage consideration of how genomic care can be structured to better balance individual rights with broader responsibilities to families and public health. \n  \nBio: Katherine (Kate) Bonini\, MS\, MA\, CGC is a Senior Genetic Counselor and Core Faculty member in the Institute for Genomic Health at the Icahn School of Medicine at Mount Sinai. Her work focuses on the ethical\, legal\, and social implications of integrating emerging genomic technologies into clinical care\, with particular emphasis on implementation science and equitable translation of genomic advances into practice. She has contributed to several major NHGRI-funded initiatives\, including the Clinical Sequencing Evidence-Generating Research (CSER) Consortium\, the Electronic Medical Records and Genomics (eMERGE) Network\, and the Human Pangenome Reference Consortium (HPRC). \nKate is an active leader within the National Society of Genetic Counselors\, where she previously served as Chair of the Research Special Interest Group and Chair of the Public Policy Committee. She is also a member of the Mount Sinai Clinical Ethics Committee\, where she contributes to institutional discussions on complex ethical issues in patient care and research. \nShe received her MS in Genetic Counseling and MA in Medical Humanities and Bioethics from Northwestern University’s Feinberg School of Medicine. \nHosted by: Professor Karen Miga\, BME Department
URL:https://events.ucsc.edu/event/bme80g-seminar-katherine-bonini-rethinking-familial-risk-in-genomic-medicine-ethical-approaches-to-cascade-screening/
LOCATION:Jack Baskin Auditorium\, 191 Baskin Cir\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260501T130000
DTEND;TZID=America/Los_Angeles:20260501T163000
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SUMMARY:Sequence to Survival: Using Genomics to Save Biodiversity
DESCRIPTION:A Free Public Symposium \nFriday\, May 1\, 2026 Merrill Cultural Center\, UC Santa Cruz Main Campus Doors open at 12:30 PM | Program begins at 1:00 PM \nRegistration is free but required! \n\nIn the 25 years since the Human Genome Project\, scientists have sequenced the DNA of thousands of species. But what can genomics actually do for ecological conservation? The answers are both surprising and urgent. Join us for an afternoon at the cutting edge of conservation genomics as we explore everything from de-extinction to searching water samples for viral genomes\, with researchers from the UC Santa Cruz Genomics Institute who are turning DNA into a tool for protecting life on Earth. \nKeynote Speaker: Beth Shapiro Chief Science Officer\, Colossal Biosciences Professor of Ecology and Evolutionary Biology\, UC Santa Cruz; Director of Conservation Genomics\, UC Santa Cruz Genomics Institute \nBeth Shapiro leads the science behind Colossal Biosciences’ efforts to bring back the woolly mammoth and dire wolf. In her talk\, “How (and Why) to Clone a Mammoth\,“ she’ll share what the science of de-extinction is revealing about how we can protect the species we still have — and why the tools being built for resurrection may be our best hope for preventing extinction in the first place. \nPanel Discussion: Conservation Genomics in Action \nFollowing the keynote\, Beth joins a panel of researchers working on the front lines of conservation: helping kelp forests survive warming oceans\, tracking the genetic health of brown bears\, monitoring biodiversity through DNA collected from soil and water\, and partnering with Indigenous communities to protect species around the world. Panel participants include: \n\nBeth Shapiro- Professor of Ecology and Evolutionary Biology at UC Santa Cruz\, CSO of Colossal Biosciences\nMeaghan Clark- Postdoctoral Scholar in Ecology and Evolutionary Biology at UCSC\nKatie Jones- Director of Community Engagement at Wise Ancestors\nJoanna Kelley- Professor of Ecology and Evolutionary Biology at UC Santa Cruz\nRachel Meyers – Assistant Professor of Ecology and Evolutionary Biology at UC Santa Cruz\, CSO of eDNA Explorer\n\nScience Fair Showcase \nExplore live demos and talk directly with researchers from some of the top conservation genomics labs in the country. Come curious. \nRefreshments provided by 10X Genomics and Oxford Nanopore Technologies! \nSchedule \n12:30 PM — Doors open\n1:00 PM — Welcome remarks by David Haussler and Keynote by Beth Shapiro\n1:50 PM — Panel discussion and Q&A\n2:50 PM — Refreshments and science fair showcase\n4:30 PM — Event close
URL:https://events.ucsc.edu/event/sequence-to-survival-using-genomics-to-save-biodiversity/
LOCATION:Cultural Center – Merrill College\, 641 Merrill Rd\, Santa Cruz\, 95064\, United States
CATEGORIES:Conference,Lectures & Presentations
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260429T120000
DTEND;TZID=America/Los_Angeles:20260429T130000
DTSTAMP:20260504T000553
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SUMMARY:Engineering Teaching Community (Faculty)
DESCRIPTION:During the chaos of a quarter\, is it hard to find time to reflect and improve as an instructor? Would you like to be a part of an inclusive\, supportive group of engineering instructors who do this in community? ETC is for sharing teaching experiences\, classroom ideas\, research on learning\, and methods that support instructors and students. All are welcome\, and lunch is provided. Please reach out to Jenny Quynn with questions.
URL:https://events.ucsc.edu/event/engineering-teaching-community-faculty/2026-04-29/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences,Training
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260429T110000
DTEND;TZID=America/Los_Angeles:20260429T121500
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CREATED:20260402T185047Z
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SUMMARY:CSE Colloquium - Towards Safe and Resilient Large-scale Distributed Programming
DESCRIPTION:Presenter: Philipp Haller\, KTH Royal Institute of Technology \nAbstract: \nDistributed programming is notoriously difficult. Not only are distributed systems concurrent\, they pose additional challenges including data consistency and fault tolerance. At the same time\, the share of software systems that are necessarily distributed systems is growing rapidly. As a result\, too many software developers are asked to become distributed systems experts. Thus\, tools and techniques for ensuring the correctness of distributed systems are urgently needed in order to leave this unsustainable trajectory. This talk presents research results towards the design and implementation of programming systems that support emerging applications and workloads; provide reliability and trust; and embrace simplicity and accessibility. Concretely\, the presented work focuses on two directions. \nThe first direction explores a distributed programming model that provides consistency while enabling high availability for workloads operating on join-semilattices without sacrificing partition tolerance. We propose a new consistency protocol\, called observable atomic consistency protocol (OACP)\, which leverages on-demand coordination to support both coordination-free operations as well as totally-ordered operations on replicated data types. We present a formal\, mechanized model of OACP in rewriting logic and verify key correctness properties using the model checking tool Maude. Furthermore\, we present the evaluation of a prototype implementation of OACP based on Akka\, a widely-used actor-based middleware. The second direction explores a programming system that aims to reconcile the scalability and fault tolerance of stream processing systems with the flexibility of the actor concurrency model. The programming system ensures a failure-transparency property\, effectively masking failures through transparent recovery. Our work is the first to formalize failure transparency using a small-step operational semantics\, and to provide proofs of failure transparency for stateful dataflow streaming and a fault-tolerant actor-based programming model. \nBio: \nPhilipp Haller is an Associate Professor in the School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology in Stockholm\, Sweden. His main research interests are in the design and implementation of programming languages\, type systems\, concurrency\, and distributed programming. He was part of the team that received the 2019 ACM SIGPLAN Programming Languages Software Award for the development of the Scala programming language. Prior to KTH\, he was an early employee at Akka (previously Lightbend\, Inc.)\, a start-up company developing and supporting Scala as well as frameworks for large-scale distributed programming. Prior to Akka\, he was a post-doctoral fellow at Stanford University\, USA\, and at EPFL\, Switzerland. In 2010 he received his PhD in computer science from EPFL\, including a nomination for the 2010 EPFL Doctorate Award. In 2006 he received his Dipl.-Inform. degree from Karlsruhe Institute of Technology (previously University of Karlsruhe)\, Germany. \nHosted by: Professor Mohsen Lesani \nLocation: Engineering 2\, Room E2-180 (Refreshments such as fruit\, pastries\, coffee\, and tea will be provided.) \nZoom Option: https://ucsc.zoom.us/j/93445911992?pwd=YkJ2TQtF79h0PcNXbEcpZLbpK0coiY.1&jst=3
URL:https://events.ucsc.edu/event/cse-colloquium-towards-safe-and-resilient-large-scale-distributed-programming/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260428T153000
DTEND;TZID=America/Los_Angeles:20260428T170000
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SUMMARY:Taming Two Scorpions: Climate Science Tipping Points Meet Finance Tail Risks
DESCRIPTION:When two quite different disciplines make eerily similar predictions about the future of the planet and human societies\, they deserve notice. Climate scientists warn that we may be heading toward a Hothouse Earth “inhospitable to … human societies\,” with “increasingly catastrophic impacts” possibly “worldwide societal breakdown.”       Finance and actuarial science emphasize the importance of tail risk (rare adverse events).  Planning and preparing for them is essential to the survival of insurance companies\, pension funds\, banks\, and the entire financial system.   In Climate Salon 6\, Economist Dan Friedman and Environmental Sociologist Andy Szasz team up to show how these disciplinary perspectives interconnect and what they say about the path forward. \nTues Apr 28 3:30-5 pm\, Center for Adaptive Optics Atrium or via zoom (free and open to the public!) \nDan Friedman is Distinguished Professor of Economics Emeritus at UCSC. The author of 6 books\, over 100 research articles and the recipient of 14 National Science Foundation grants\, Dan has begun to apply his expertise in finance and evolutionary game theory to issues in environmental economics. \nAndrew Szasz is Professor Emeritus of Environmental Studies.  At UCSC he taught courses on Classical and Contemporary Social Theory\, Environmental Sociology and Environmental Justice. He has written books and articles on environmental regulation\, the grassroots toxics movement\, green consuming\, environmental justice and climate change. \nCO-SPONSORED by UCSC Climate Action Now\, the Earth Futures Institute\, and Baskin Engineering.
URL:https://events.ucsc.edu/event/taming-two-scorpions-climate-science-tipping-points-meet-finance-tail-risks-2/
LOCATION:Center for Adaptive Optics\, 7487 Red Hill Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260427T160000
DTEND;TZID=America/Los_Angeles:20260427T170000
DTSTAMP:20260504T000553
CREATED:20260408T192436Z
LAST-MODIFIED:20260408T192436Z
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SUMMARY:AM Seminar: Machine Learning in Molecular Simulations: From Free Energy to Vibrational Spectroscopy
DESCRIPTION:Presenter: Marcos Calegari Andrade\, Assistant Professor\, Chemistry and Biochemistry\, UC Santa Cruz \nDescription: In this talk\, I will demonstrate how neural networks can represent the high-dimensional potential energy surfaces of many-body systems. By achieving the accuracy of first-principles quantum calculations at a fraction of the computational cost\, these models enable atomistic simulations of condensed matter at unprecedented scales. I will discuss how this approach provides a detailed lens into chemical reaction dynamics under experimentally relevant conditions and facilitates the direct calculation of observables\, such as vibrational spectra\, effectively bridging the gap between theoretical simulation and experimental observation. \nAbout the speaker: Marcos Calegari Andrade is an Assistant Professor in the Department of Chemistry and Biochemistry at the University of California\, Santa Cruz. He earned his PhD from Princeton University\, where he developed machine learning models to simulate the chemistry and vibrational spectroscopy of condensed-phase systems. He later joined the Quantum Simulations Group at Lawrence Livermore National Laboratory\, applying deep neural network models to fundamental challenges in climate and energy security. His current research at UCSC focuses on the application of machine learning to molecular simulations\, with a particular emphasis on chemical reaction mechanisms\, vibrational spectroscopy\, and the development of automated simulation frameworks. \nThis seminar is hosted by Applied Mathematics
URL:https://events.ucsc.edu/event/am-seminar-machine-learning-in-molecular-simulations/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260427T160000
DTEND;TZID=America/Los_Angeles:20260427T170000
DTSTAMP:20260504T000553
CREATED:20260408T191555Z
LAST-MODIFIED:20260408T191555Z
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SUMMARY:Statistics Seminar: Active Learning for Fair and Stable Allocations
DESCRIPTION:Presenter: Riddhiman Bhattacharya\, Postdoc\, UCSC \nDescription: We propose an active learning approach for dynamic fair resource allocation problems. In contrast to prior work that assumes full feedback from all agents on their allocations\, we focus on scenarios where feedback is available only from a carefully select subset of agents at each epoch of the online resource allocation process. Despite this limitation\, our algorithms achieve sub-linear regret in the number of time-periods for multiple fairness metrics commonly used in resource allocation problems and stability constraints inherent to matching mechanisms. The core innovation of our approach lies in the adaptive identification of the most informative feedback through dueling upper and lower confidence bounds. This strategy enables efficient decision-making with limited feedback\, achieving favorable outcomes across various problem classes. \nAbout the speaker: I am Riddhiman Bhattacharya\, currently a postdoc at UCSC\, Statistics Department\, working with Justin (Sangwon Hyun). I have previously been a postdoc at Purdue and have obtained my PhD from the University of Minnesota in Statistics. I am interested in methodological development in statistics with varied applications including oceanography\, biology and economics. I am also interested in theoretical development of statistics particularly in the fields of Markov Chain Monte Carlo\, Optimization and Fast Sampling.
URL:https://events.ucsc.edu/event/statistics-seminar-active-learning-for-fair-and-stable-allocations/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260427T123000
DTEND;TZID=America/Los_Angeles:20260427T133000
DTSTAMP:20260504T000553
CREATED:20260409T214501Z
LAST-MODIFIED:20260409T214501Z
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SUMMARY:CM Seminar: Edward Wang\, "Inventing a New Blood Pressure Monitor"
DESCRIPTION:Presented by: Edward Wang \nDescription: “What does it actually look like to invent something? In this talk\, I trace the decade-long journey of turning a smartphone into a blood pressure monitor\, from Seismo\, which used smartphone accelerometers to measure pulse transit time\, to BPClip\, a dollar clip that brought calibration-free oscillometry to the fingertip\, to VibroBP\, which eliminated the attachment entirely using the phone’s vibration motor. Each project was born from the limitations of the last. And each time we thought we’d solved the problem\, new layers of unknowns appeared around usability\, manufacturing\, and FDA classification. This is a talk about what inventing looks like when you zoom in past the papers and patents. Less about creating something new\, and more about finding the unknowns between a need and its solution\, and creatively working through them\, one by one.” \nBio: Dr. Edward J. Wang is the Jacobs Faculty Chair in Entrepreneurship Associate Professor of Design and Electrical & Computer Engineering at UC San Diego\, where he directs the Digital Health Technologies Lab. His research explores practical solutions to address real-world medical needs drawn from collaborations with clinicians and world health organizations\, but solved using new and creative insights that leverage state-of-the-art applied machine learning\, embedded systems\, and mobile sensors. He has been named an NAI Senior Member\, NIH Trailblazer\, Norman Design Laureate\, and Google Research Scholar. He publishes in premier computer science and health science venues including ACM IMWUT\, CHI\, UIST\, Nature Publishing\, Frontiers in Digital Health\, and JMIR\, having been awarded 9 best paper awards. He actively engages in the translation of research through faculty entrepreneurship. He earned his Ph.D. from the University of Washington and his B.S. from Harvey Mudd College. \nHosted by: Professor Christina Chung \nWhen: Monday\, April 27\, 2026 from 12:30PM to 1:30PM \nLocation:  \nIN-PERSON @  SVC 3212. \nViewing room @ UCSC Main Campus\, E2-280. \nLUNCH WILL BE PROVIDED AT BOTH LOCATIONS! Faculty and students are highly encouraged to attend. \nZoom info: \nhttps://ucsc.zoom.us/j/91516487260?pwd=6qaylO1FY0XjYHIrFnxJqCikmypxam.1\nMeeting ID: 915 1648 7260\nPasscode: 086900 \n 
URL:https://events.ucsc.edu/event/cm-seminar-edward-wang-inventing-a-new-blood-pressure-monitor/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260427T110000
DTEND;TZID=America/Los_Angeles:20260427T130000
DTSTAMP:20260504T000553
CREATED:20260420T225301Z
LAST-MODIFIED:20260423T210320Z
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SUMMARY:Quality First Coding Contest
DESCRIPTION:This is a programming contest\, but with a twist! Instead of scoring you based on your speed and solution accuracy\, we score you based on your programming quality and solution accuracy. This means that instead of looking at how fast you can program a solution\, we look at your number of compiles/runs instead.* The contestant that uses the least number of compiles/runs to produce passing code is the winner. Ties are broken by time. \nFood will be provided. QFCC 20260427 – Poster
URL:https://events.ucsc.edu/event/quality-first-coding-contest/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260427T104000
DTEND;TZID=America/Los_Angeles:20260427T114500
DTSTAMP:20260504T000553
CREATED:20260423T164929Z
LAST-MODIFIED:20260423T164929Z
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SUMMARY:ECE 290 Seminar: Speaker Luat T. Vuong - Biospeculative approaches to the “needle in a haystack”: vortex encoders and hybrid optical neural-networks
DESCRIPTION:Presenter: Luat Vuong\, Associate Professor in Mechanical Engineering\, UC Riverside \nDescription: Given the growing computational demands of machine learning\, how can we scale approaches for sifting through large volumes of data—including patterned or delayed information embedded as “noise”? Many computer vision applications have a strict power budget and demand robust\, rapid-response\, and even real-time image processing. In this talk\, I’ll describe our “biospeculative” approaches to efficiently offload traditional computer vision tasks to diffractive optics. Such hybrid approaches leverage the benefits of preprocessing optics and shallow electronic algorithms. With optics\, we spatially encode multiple dimensions of light (color\, polarization) and decode with simple\, back-end neural networks. I will focus the discussion on the role of encoding from vortex optical singularities. With vortex and multi-vortex encoders\, we identify sparse and reconstruct low-signal features\, tracking the “needle in a haystack”. \nBio: Luat Vuong is currently Associate Professor in Mechanical Engineering at UC Riverside\, with cooperating faculty memberships in Physics\, Electrical and Computer\, and Materials Science and Engineering. She is also affiliate faculty in Robotics and at the Center for Environmental Research and Technology. She is trained as an optical applied physicist\, received her undergrad at UC Berkeley\, PhD at Cornell University. She is a recipient of the 2007 Fulbright Fellowship (which she took at the Technical University of Delft in The Netherlands)\, 2010 European Council MC-IIF Global Postdoctoral Fellowship (which she took at the Institute of Photonic Sciences in Spain)\, 2012 NSF Career Award\, a 2016 J-FRASE\, Sloan- funded Award\, the 2019 DARPA Young Faculty Award\, and the 2021 DARPA Director’s Fellowship. Her research is broadly at the intersection of optics\, nonlinear dynamics\, and data science. \nHosted by: Professor Soumya Bose\, ECE Department \nZoom Link: https://ucsc.zoom.us/j/97975378707?pwd=ljcgaCfhMmhZ88Vt5dqQUBVQRjehOx.1
URL:https://events.ucsc.edu/event/ece-290-seminar-speaker-luat-t-vuong-biospeculative-approaches-to-the-needle-in-a-haystack-vortex-encoders-and-hybrid-optical-neural-networks/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260424T132000
DTEND;TZID=America/Los_Angeles:20260424T142500
DTSTAMP:20260504T000553
CREATED:20260422T224826Z
LAST-MODIFIED:20260422T224826Z
UID:10013977-1777036800-1777040700@events.ucsc.edu
SUMMARY:BME80G Seminar: Ed Green\, "DNA Forensics in The Genomics Age"
DESCRIPTION:Presenter: Richard “Ed” Green\, Professor of Bimolecular Engineering @ UCSC \nBio: Richard E. Green (Ed) was born in Atlanta\, Georgia\, USA in 1972. He graduated from the University of Georgia (B.Sc. Genetics) in 1997. Before graduate school\, Ed was in Peace Corps (Barentu\, Eritrea) and was a lab tech at Emory University. Ed studied with Steven Brenner at the University of California\, Berkeley where he got his PhD in 2005 on computational algorithms for sequence analysis and alternative splicing. As an NSF Postdoctoral Fellow in the lab of Svante Paabo at the Max Planck Institute for Evolutionary Anthropology\, Ed pioneered the use of high throughput sequencing in ancient DNA. He was first author of the paper in Science describing the Neanderthal genome which won the Newcombe-Cleveland prize. As Professor at the University of California\, Santa Cruz\, Ed co-directs the UCSC Paleogenomics lab. His research focuses on comparative genomics\, population genetics\, DNA technology development\, and DNA-based forensics. Ed is co-founder of Dovetail Genomics\, Claret Biosciences\, and Astrea Forensics. He is a Kavli Scholar\, a Searle Scholar and a Sloan Scholar\, author of over 100 research manuscripts and 21 US Patents. He is a senior member of the National Academy of Inventors\, was a 2024 Santa Cruz Titan of Tech\, and was awarded the 2025 International Homicide Investigators Association technology award. \n\nHosted by: Professor Karen Miga\, BME Department
URL:https://events.ucsc.edu/event/bme80g-seminar-ed-green-dna-forensics-in-the-genomics-age/
LOCATION:Jack Baskin Auditorium\, 191 Baskin Cir\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260424T130000
DTEND;TZID=America/Los_Angeles:20260424T150000
DTSTAMP:20260504T000553
CREATED:20260408T175733Z
LAST-MODIFIED:20260408T175733Z
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SUMMARY:Zheng\, Z. (STATS) - Semi-Supervised Statistical Learning for Oceanographic Data
DESCRIPTION:Oceanographic data\, generated by modern technologies that measure biological systems across time\, space\, and cell populations\, are often rich\, high-dimensional\, and highly heterogeneous. Such data provide valuable opportunities to study subcellular organization\, cellular heterogeneity\, and dynamic biological processes in marine environments. However\, because marine plankton systems remain relatively understudied and less well characterized than many model biological systems\, both data generation and labeling are particularly challenging. Limited domain knowledge and less mature laboratory protocols often produce noisy observations\, while reliable annotation requires substantial expert effort and is therefore difficult to obtain at scale.\nThis proposal develops statistical methodology for oceanographic data settings in which a small amount of expert-labeled data must be combined with a much larger collection of unlabeled or imperfectly processed data. A central goal is to incorporate limited scientific knowledge into statistical learning procedures to improve interpretability\, component identifiability\, and inferential reliability. In particular\, I develop semi-supervised statistical methods that explicitly quantify the information contributed by expert annotation.\nTo address this goal\, I study three related problems: semi-supervised functional clustering for subcellular spatial proteomics\, anchored semi-supervised mixture-of-experts models for flow cytometry\, and temporally structured latent-variable models that separate smooth trend and seasonal variation from scientific signals of interest. Together\, these projects aim to develop principled and interpretable methodology for partially labeled\, structured\, and high-dimensional oceanographic data\, with an emphasis on valid uncertainty quantification. \nEvent Host: Ziyue Zheng\, Ph.D. Student\, Statistical Science \nAdvisor: Sangwon Hyun \nZoom: https://ucsc.zoom.us/j/93229540289?pwd=8bsBOSBFmISlexmS4OWTmTZKp420u2.1
URL:https://events.ucsc.edu/event/zheng-z-stats-semi-supervised-statistical-learning-for-oceanographic-data/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260424T110000
DTEND;TZID=America/Los_Angeles:20260424T130000
DTSTAMP:20260504T000553
CREATED:20260210T203327Z
LAST-MODIFIED:20260402T212342Z
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SUMMARY:DNA Day
DESCRIPTION:Please join the UC Santa Cruz Genomics Institute for our annual celebration of DNA! \nWe will be in the Baskin Engineering courtyard from 11am-1pm with swag\, music\, and activities. This is a fun\, family-friendly event and open to the public. Activities will include: \n\nStrawberry DNA Extraction demonstration (WiSE)\nDouble helix origami\nPoster session and resource fair\nFace painting\nStickers\, bookmarks\, pins\, and other swag\nDouble human helix conga line (everyone who participates gets a free shirt!)\n\nStop by and learn about the amazing molecule that codes all of life. 🧬❤️ \nWant to be a part of DNA Day? Sign up to: \n1. Give a poster presentation\n2. Volunteer during DNA day\n3. Have your student group or org participate in our resource fair
URL:https://events.ucsc.edu/event/dna-day/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Undergraduate
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260424T010000
DTEND;TZID=America/Los_Angeles:20260427T005959
DTSTAMP:20260504T000553
CREATED:20251119T184335Z
LAST-MODIFIED:20260305T171412Z
UID:10005206-1776992400-1777251599@events.ucsc.edu
SUMMARY:Alumni Reunion Weekend 2026
DESCRIPTION:Join your classmates back at UC Santa Cruz for Alumni Reunion Weekend\, April 24–26\, 2026. This annual celebration honors the pioneering classes of 1965–1976 and the mark you have left on our campus and the world. \nReconnect with classmates\, celebrate your achievements\, and enjoy time among the redwoods. Whether you never left or you haven’t returned to Santa Cruz since graduation\, we hope to see you there for this spectacular reunion weekend. \nMark your calendar and plan to return to campus\, April 24-26\, 2026.
URL:https://events.ucsc.edu/event/alumni-reunion-weekend-2026/
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260423T180000
DTEND;TZID=America/Los_Angeles:20260423T193000
DTSTAMP:20260504T000553
CREATED:20260402T213440Z
LAST-MODIFIED:20260402T222539Z
UID:10012030-1776967200-1776972600@events.ucsc.edu
SUMMARY:Climate Week Tech Connect: Energy Solutions
DESCRIPTION:Join Baskin Engineering to explore the frontier of power engineering\, where the rapid rise of electrification and digital infrastructure is creating an unprecedented demand for next-generation talent and a critical opportunity for sustainability.  \nThis networking event bridges the gap between the classroom and the field\, offering students and faculty a front-row seat to the trends and high-impact career opportunities shaping our energy future. The event is part of Baskin Engineering Climate Week\, focused on raising awareness of climate issues and sustainability research and teaching. \nWhere: BE Courtyard\nWhen: Thursday\, April 23\, 6:00-7:30 p.m. \nWe hope to see you there!
URL:https://events.ucsc.edu/event/climate-week-tech-connect-energy-solutions/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260423T170000
DTEND;TZID=America/Los_Angeles:20260423T183000
DTSTAMP:20260504T000553
CREATED:20260410T065806Z
LAST-MODIFIED:20260410T065806Z
UID:10012092-1776963600-1776969000@events.ucsc.edu
SUMMARY:Careers in Climate Tech & Sustainability
DESCRIPTION:Ready to explore career pathways that matter? \nAttend our very special Careers in Climate Tech & Sustainability Panel for an inside look at careers that will help build a sustainable future. Panelists representing different roles and organizations will share their career journeys and offer practical insights into working in climate tech. There will also be a catered networking reception that follows\, don’t miss it! \nGet informed\, inspired\, and discover your path to a career in sustainability! \n  \nThis event is part of Baskin Engineering’s Climate Tech Day featuring a community fair where students\, faculty\, climate/sustainability tech companies\, and community organizations will showcase their works through various means like demos\, poster presentations\, and tabling. This will be in the Baskin Courtyard from 2pm – 5pm.  \n  \n  \nIf you have disability-related needs\, please contact the Career Success office at csuccess@ucsc.edu or (831) 459-4420 as soon as possible. \n  \nYOU BELONG HERE\nPrograms and services are open to all\, consistent with state and federal law\, as well as the University of California’s nondiscrimination policies. Every initiative—whether a student service\, faculty program\, or community event—is designed to be accessible\, inclusive\, and respectful of all identities. To learn more\, please visit UC Nondiscrimination Statement or Nondiscrimination Policy for UC Publications.
URL:https://events.ucsc.edu/event/careers-in-climate-tech-sustainability-2/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Undergraduate
GEO:37.0009723;-122.0632371
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260423T170000
DTEND;TZID=America/Los_Angeles:20260423T181500
DTSTAMP:20260504T000553
CREATED:20260402T211703Z
LAST-MODIFIED:20260402T212222Z
UID:10011935-1776963600-1776968100@events.ucsc.edu
SUMMARY:Careers in Climate Tech & Sustainability
DESCRIPTION:Ready to explore career pathways that matter? \nAttend our very special Careers in Climate Tech & Sustainability Panel—celebrating Baskin Engineering Climate Week—for an inside look at careers that will help build a sustainable future. Panelists representing different roles and organizations will share their career journeys and offer practical insights into working in climate tech. There will also be a catered networking reception that follows—don’t miss it! \nGet informed\, inspired\, and discover your path to a career in sustainability! \nThis event is part of Baskin Engineering’s Climate Tech Day featuring a community fair where students\, faculty\, climate and sustainability tech companies\, and community organizations will showcase their works through demonstrations\, poster presentations\, tabling\, and more.  \nWhere: E2-180\nWhen: Thursday\, April 23\, 5:00-6:15 p.m. \nRegister via Handshake. \nIf you have disability-related needs\, please contact the Career Success office at csuccess@ucsc.edu or (831) 459-4420 as soon as possible. \nYOU BELONG HERE\nPrograms and services are open to all\, consistent with state and federal law\, as well as the University of California’s nondiscrimination policies. Every initiative—whether a student service\, faculty program\, or community event—is designed to be accessible\, inclusive\, and respectful of all identities. To learn more\, please visit UC Nondiscrimination Statement or Nondiscrimination Policy for UC Publications.
URL:https://events.ucsc.edu/event/careers-in-climate-tech-sustainability/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260423T153000
DTEND;TZID=America/Los_Angeles:20260423T173000
DTSTAMP:20260504T000553
CREATED:20260401T183254Z
LAST-MODIFIED:20260401T183254Z
UID:10011835-1776958200-1776965400@events.ucsc.edu
SUMMARY:Pawl\, E. (STAT) - Flexible and Scalable Mixtures of Experts for Oceanographic Flow Cytometry Data
DESCRIPTION:Flow cytometry is a valuable technique in microbial research used to measure the optical properties of single-celled organisms at high throughput. Oceanographers often deploy flow cytometers on research cruises in order to study the characteristics of phytosynthetic microbes—called phytoplankton—in regions and times with diverse environmental conditions. Because cytometers cannot distinguish between subpopulations\, researchers typically cluster observations into subpopulations and subsequently analyze cluster characteristics. This two-stage workflow is often manual\, difficult to reproduce\, and fails to account for uncertainty in cluster assignments when relating subpopulation behavior to environmental conditions. To address these shortcomings\, statistical mixture models are gradually being introduced as alternatives to manual flow cytometry data analysis. However\, existing models either cannot use covariates or make restrictive assumptions about the relationships between cluster characteristics and covariates. Additionally\, they are designed to analyze individual cruises and consequently characterize local\, rather than global\, patterns in phytoplankton behavior. We propose to develop computationally efficient mixtures of experts which account for the complex dependency structures in oceanographic flow cytometry data. In this framework\, cells are probabilistically assigned to latent subpopulations\, while cluster-specific regressions relate each subpopulation’s optical properties and relative abundance to environmental conditions. Our first project develops a mixture of random weight neural network experts which can estimate arbitrary nonlinear regressions at low computational cost\, without a priori specification of functional forms. In the second project\, we develop a variational Bayesian mixture of experts which automatically selects variables without requiring cross-validation for hyperparameter selection. The final project incorporates spatial and temporal dependence\, allowing joint inference on data collected from multiple research cruises conducted at different locations and times. \nEvent Host: Ethan Pawl\, Ph.D. Student\, Statistical Science \nAdvisors: Sangwon Hyun & Paul Parker \nZoom- https://ucsc.zoom.us/j/96353239941?pwd=a4PJ94EMSD6D0SJ75S3WYzrPbYsBtn.1 \nPasscode- 244463
URL:https://events.ucsc.edu/event/pawl-e-stat-flexible-and-scalable-mixtures-of-experts-for-oceanographic-flow-cytometry-data/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260423T140000
DTEND;TZID=America/Los_Angeles:20260423T170000
DTSTAMP:20260504T000553
CREATED:20260403T215527Z
LAST-MODIFIED:20260403T220700Z
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SUMMARY:Climate Tech & Sustainability Showcase
DESCRIPTION:Join us for a Climate Tech & Sustainability Showcase\, where students\, faculty\, climate and sustainability-focused companies\, founders\, and community organizations come together to share their work and ideas. The event is part of Baskin Engineering Climate Week\, focused on raising awareness of climate issues and sustainability research and teaching. \nExplore a range of interactive demos\, poster presentations\, and tabling displays highlighting innovative research\, emerging technologies\, and real-world solutions to climate challenges. Baskin Engineering student organizations will also be on hand to share their climate friendly projects! \nCome network\, promote your organization\, and meet up-and-coming talent alongside other passionate\, like-minded members of the climate and sustainability community. \nWhere: BE Courtyard\nWhen: 2:00-5:00 p.m.
URL:https://events.ucsc.edu/event/climate-tech-sustainability-showcase/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260423T114000
DTEND;TZID=America/Los_Angeles:20260423T131500
DTSTAMP:20260504T000553
CREATED:20260423T150019Z
LAST-MODIFIED:20260423T163021Z
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SUMMARY:BME 280B Seminar: Speaker Dr. Aaron Newman - Molecular and spatial determinants of single-cell developmental states in cancer
DESCRIPTION:Presenter: Dr. Newman\, Associate Professor in the Department of Biomedical Data Science\, Stanford University \n  \nDescription: Determining the factors that shape cell potency—the ability of a cell to differentiate into other cell types—is essential for understanding tissue biology in health and disease\, including cancer. In previous work\, we found that single-cell transcriptional diversity decreases across developmental time\, from the fertilized egg to the most mature cells in the body\, and in multiple organisms. More recently\, we developed CytoTRACE 2\, an interpretable AI framework trained on millions of data points from single-cell RNA sequencing data\, to determine cell potency on an absolute scale and reveal molecular hallmarks of developmental potential. We are now leveraging this method along with advances in spatial transcriptomics\, to identify multicellular ecosystems linked to cancer cell differentiation states and clinical outcomes. I will highlight these tools along with our ongoing work to decode cell plasticity and clinically relevant spatial microenvironments in human malignancies. \n  \nBio: Dr. Newman is an Associate Professor in the Department of Biomedical Data Science at Stanford University and a Chan Zuckerberg Biohub Investigator. He is also a member of the Stanford Cancer Institute and the Stanford Institute for Stem Cell Biology and Regenerative Medicine. Dr. Newman has made significant contributions to computational biology with applications to liquid biopsy\, cancer genomics\, and tumor immunology. Key contributions include CAPP-Seq for ultrasensitive detection of circulating tumor DNA; CIBERSORT/x for decoding cellular composition from bulk genomic data; CytoTRACE/2 for inferring cellular differentiation states from scRNA-seq data; and EcoTyper for delineating context-dependent cellular ecosystems from bulk\, single-cell\, and spatial expression data. His research program focuses on developing innovative data science tools to study the phenotypic diversity\, differentiation hierarchies\, and clinical significance of tumor cells and their surrounding microenvironments. Key results are further explored experimentally\, both in the lab and through collaboration\, with the goal of translating promising findings into the clinic.  \nHosted by: Professor Camilla Forsberg\, BME Department
URL:https://events.ucsc.edu/event/molecular-and-spatial-determinants-of-single-cell-developmental-states-in-cancer/
LOCATION:Biomedical Sciences Building\, 575 McLaughlin Drive
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260422T110000
DTEND;TZID=America/Los_Angeles:20260422T121500
DTSTAMP:20260504T000553
CREATED:20260331T171056Z
LAST-MODIFIED:20260401T165930Z
UID:10011819-1776855600-1776860100@events.ucsc.edu
SUMMARY:CSE Colloquium - Robust Machine Learning for Biomedical Data: Efficiency\, Reliability\, and Generalizability
DESCRIPTION:Presenter\nChenyu You\, Stony Brook University \nAbstract\nIn the rapidly growing area of machine learning\, there is profound promise in crafting intelligent\, data-driven methods for diverse real-world applications. Yet\, in safety-critical domains like healthcare\, some fundamental challenges remain: (1) The insufficiency of raw biomedical data emphasizes the need for data-efficient and robust learning approaches. (2) The imperative of safety and stability necessitates a cohesive framework that unifies learning with theoretical guarantees. (3) The inherent heterogeneity and distribution shifts in real-world clinical data call for robust and generalizable learning methods. To address these challenges\, there are several major directions I have explored: (i) (Robust) Machine Learning for Imperfect Medical Data: The development of machine learning models\, particularly in the context of label scarcity\, increasingly necessitates the collection of substantial annotated medical data. Moreover\, medical data often display a long-tailed class distribution\, which consequently results in notable imbalance issues. To this end\, there are several growing interests in training machine learning models jointly across imbalanced class distributions and limited annotations. I have developed novel\, efficient\, statistically consistent algorithms to improve empirical performance for biomedical image analysis. (ii) Learning with Theoretical Guarantees: As machine learning methods have become ubiquitous in clinical decision-making\, their reliability and interpretability have become important. This is particularly crucial in the field of biomedical image analysis\, where decision outcomes can have profound implications. I have developed novel machine learning algorithms that enable provably accurate anatomical modeling with theoretical guarantees. (iii) Generalize across Diverse Biomedical Data: The development of medical foundation models often requires massive and diverse biomedical data. To this end\, I have developed various foundation models for biomedical imaging data and explored novel applications of these models. I have also developed novel medical AI Agents that lead to the scalable and accurate predictive modeling\, particularly for distribution shift problems. \nSpeaker Bio\nChenyu You is an Assistant Professor in the Department of Applied Mathematics & Statistics and Department of Computer Science at Stony Brook University. He is also the core faculty member of the CVLab\, AI institute\, and affiliated with the Institute for Advanced Computational Science. His research focuses on both fundamental and applied problems in computer vision and machine learning\, often with a focus on generalization\, and making machine learning more reliable. Our applied research includes applications to healthcare\, biomedical imaging\, and cognitive neuroscience. He received his Ph.D. in 2024 from Yale University under the advisement of James S. Duncan\, his M.S. in 2019 from Stanford University under the advisement of Daniel Rubin\, and his B.S. in 2017 from Rensselaer Polytechnic Institute under the advisement of Ge Wang\, all in electrical engineering. He has also spent wonderful time at Facebook AI Research (FAIR)\, as well as Google Research. He serves on the Medical Image Computing and Computer-Assisted Intervention Society (MICCAI)\, and the SUNY AI Symposium Planning Committee\, and as associate editors for IEEE Transactions on Medical Imaging\, Medical Image Analysis\, IEEE Transactions on Neural Networks and Learning Systems\, Pattern Recognition\, and Transactions on Machine Learning Research. He has received AAAI’26 New Faculty Highlights\, CPAL’26 Rising Stars Award\, Tinker Research Grant Award\, Lambda Research Grant Award\, ICML’25 Oral Presentation Award\, EMBC’25 Top Paper Award\, MICCAI’25 NIH Registration Grant Award\, IEEE TMI’25 Distinguished Associate Editor Certificate of Excellence Award\, and Yale George P. O’Leary Graduate Fellowship\, and has been ranked as the World’s Top 2% most-cited scientists by Stanford University since 2024\, is a member of the Sigma Xi scientific research society\, and received the Excellence in Teaching Award for Spring and Fall 2025. For more information\, please check his website: https://chenyuyou.me/. \nHosted by: Professor Yuyin Zhou \nLocation: Engineering 2\, Room E2-180 (Refreshments such as fruit\, pastries\, coffee\, and tea will be provided.) \nZoom Option: https://ucsc.zoom.us/j/93445911992?pwd=YkJ2TQtF79h0PcNXbEcpZLbpK0coiY.1&jst=3
URL:https://events.ucsc.edu/event/cse-colloquium-robust-machine-learning-for-biomedical-data-efficiency-reliability-and-generalizability/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260421T100000
DTEND;TZID=America/Los_Angeles:20260421T113000
DTSTAMP:20260504T000553
CREATED:20260401T234645Z
LAST-MODIFIED:20260401T234645Z
UID:10011845-1776765600-1776771000@events.ucsc.edu
SUMMARY:BE Climate & Cookies Student Pop-Up!
DESCRIPTION:Come get excited about Baskin Engineering Climate Week at our student pop-up! 🌎 \nClimate Week is a chance to explore how Baskin Engineering is addressing climate challenges through innovative research\, teaching\, and hands-on projects. \nDiscover the events happening throughout the week and find ways to get involved! \nSwing by for FREE BE swag\, coffee\, cookies\, Climate Week stickers\, and more—first come\, first served! \nWhere: BE Courtyard\nWhen: Tuesday\, April 21\, 10:00-11:30 a.m. \nWe hope to see you there!
URL:https://events.ucsc.edu/event/be-climate-week-pop-up-2026/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Social Gathering
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2026/04/BE-climate-week-pop-up.png
GEO:37.000369;-122.0632371
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Jack Baskin Engineering Baskin Engineering 1156 High Street Santa Cruz CA 95064;X-APPLE-RADIUS=500;X-TITLE=Baskin Engineering 1156 High Street:geo:-122.0632371,37.000369
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260420T160000
DTEND;TZID=America/Los_Angeles:20260420T170000
DTSTAMP:20260504T000553
CREATED:20260331T181211Z
LAST-MODIFIED:20260331T181211Z
UID:10011822-1776700800-1776704400@events.ucsc.edu
SUMMARY:Statistics Seminar: Hierarchical Clustering with Confidence
DESCRIPTION:Presenter: Snigdha Panigrahi\, Associate Professor\, Department of Statistics\, University of Michigan \nDescription:Agglomerative hierarchical clustering is one of the most widely used approaches for exploring how observations in a dataset relate to each other. However\, its greedy nature makes it highly sensitive to small perturbations in the data\, often producing different clustering results and making it difficult to separate genuine structure from spurious patterns. In this talk\, I will show how randomizing hierarchical clustering can be useful not just for measuring stability but also for designing valid hypothesis testing procedures based on the clustering results. We propose a simple randomization scheme to construct valid p-values at each node of a hierarchical clustering dendrogram\, quantifying evidence against greedy merges while controlling the Type I error rate. Our method applies to any linkage without case-specific derivations\, is substantially more powerful than existing selective inference approaches\, and provides an estimate of the number of clusters with a probabilistic guarantee on overestimation. \nBio:Snigdha Panigrahi is an Associate Professor of Statistics at the University of Michigan\, where she also holds a courtesy appointment in the Department of Biostatistics. She received her PhD in Statistics from Stanford University in 2018 and has been a faculty member at Michigan since then. Her research focuses on converting purely predictive machine learning algorithms into principled inferential methods. She is an elected member of the International Statistical Institute\, and her work has been recognized with an NSF CAREER Award and the Bernoulli New Researcher’s Award. Her editorial service\, past and present\, includes Journal of Computational and Graphical Statistics\, Bernoulli\, and Journal of the Royal Statistical Society: Series B. \nHosted by: Statistics Department
URL:https://events.ucsc.edu/event/statistics-seminar-hierarchical-clustering-with-confidence/
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260420T160000
DTEND;TZID=America/Los_Angeles:20260420T170000
DTSTAMP:20260504T000553
CREATED:20260331T180549Z
LAST-MODIFIED:20260331T180549Z
UID:10011821-1776700800-1776704400@events.ucsc.edu
SUMMARY:AM Seminar: Variational Inference and Density Estimation with Non-Negative Tensor Train
DESCRIPTION:Presenter: Dr. Xun Tang\, Stanford University \nDescription: This talk covers an efficient numerical approach for compressing a high-dimensional discrete distribution function into a non-negative tensor train (NTT) format. The two settings we consider are variational inference and density estimation\, whereby one has access to either the unnormalized analytic formula of the distribution or the samples generated from the distribution. In particular\, the compression is done through a two-stage approach. In the first stage\, we use existing subroutines to encode the distribution function in a tensor train format. In the second stage\, we use an NTT ansatz to fit the obtained tensor train. For the NTT fitting procedure\, we use a log barrier term to ensure the positivity of each tensor component\, and then utilize a second-order alternating minimization scheme to accelerate convergence. In practice\, we observe that the proposed NTT fitting procedure exhibits drastically faster convergence than an alternative multiplicative update method that has been previously proposed. Through challenging numerical experiments\, we show that our approach can accurately compress target distribution functions. \nBio: Xun Tang is a postdoc in Stanford University\, department of mathematics\, hosted by Prof. Lexing Ying. Xun works on tensor network methods for scientific computing and data science\, and Xun also works on optimal transport algorithms. Xun will join HKUST department of mathematics in August 2026 as an incoming assistant professor. \nHosted by: Applied Mathematics Department
URL:https://events.ucsc.edu/event/am-seminar-variational-inference-and-density-estimation-with-non-negative-tensor-train/
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260416T110000
DTEND;TZID=America/Los_Angeles:20260416T150000
DTSTAMP:20260504T000553
CREATED:20260304T005400Z
LAST-MODIFIED:20260305T171512Z
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SUMMARY:2026 Spring (all-majors) Career & Internship Fair
DESCRIPTION:Undergraduate and graduate students and recent alumni interested in pursuing careers in business\, arts\, social sciences & humanities industries are welcome to attend. Get the chance to meet recruiters from many industries/firms seeking to fill internship\, full-time\, and part-time roles. Come take essential steps toward laying the foundation for your future career and potentially even land an interview! \nCurious about how to best prepare for the fair? \n1. Research the organization \nIdentify the top 3-5 companies you are interested in\, but remember to be open to different companies you may not have heard of because they may be a startup or business-to-business organization that doesn’t directly serve consumers. \nDo your research by reviewing company websites. Look for their mission\, values\, location\, and the type of available opportunities (e.g.\, internships\, full-time positions\, etc.). Company representatives are impressed by potential candidates who take the time to do this! \n2. Prepare your introduction and questions \nReflect on what it is about each company that resonates with you. Perhaps it’s the specific technology they’re developing\, the research they’re leading\, or the world problem they’re trying to solve. What relevant experiences do you have? How can you be of service to that organization? Exercise critical thinking skills to develop questions to ask recruiters and hiring managers. \n3. Dress with confidence \nEach industry and each company has different work attire expectations and organizational culture. Do your research\, ask mentors in advance for advice\, and dress to impress! \nPLEASE NOTE: You are encouraged to check in at the student registration table in order to participate in the career fair. Bring your student ID. \nThis program is open to all students consistent with state and federal law\, the UC Nondiscrimination Statement and the Nondiscrimination Policy Statement for University of California Publications Regarding Student-Related Matters. \nWant more support? \n  \n\nVisit a peer coach during drop-in hours\nSchedule a career coaching appointment with a Career Engagement Specialist\nFor PhD students looking to pursue careers in industry\, explore Beyond the Professoriate\n(Scroll over “Login to Platform” at the top navigation bar and click “Through your institution”)\nStay in the loop by following Career Success on Instagram\n\nYou will receive registration and additional information in your email from Career Success via Handshake. Please make sure to check your junk/spam folder if you are not receiving any communication. \nYou will receive registration and additional information in your email from Career Success via Handshake. Please make sure to check your junk/spam folder if you are not receiving any communication.\n\n \nYou Belong Here: The programs and services described here are open to all\, consistent with state and federal law\, as well as the University of California’s nondiscrimination policies. Every initiative—whether a student service\, faculty program\, or community event—is designed to be accessible\, inclusive\, and respectful of all identities. \nTo learn more\, please visit UC Nondiscrimination Statement or Nondiscrimination Policy for UC Publications. \nQuestions? Send to csuccess@ucsc.edu or visit Career Success at Hahn 125 East Entrance\nNeed accessibility support? Let us know at slugtalent@ucsc.edu at least two weeks prior to the fair date. \n\n\n\nCareer fair registrations are made without endorsement\, direct or implied\, by Career Success or UCSC. Career Success educates students about various opportunities and ensures equity of access to campus recruiting activities for all employers who abide by our Employer Policies. Individual students are encouraged to determine which employers align with their diverse talents\, values\, and interests.
URL:https://events.ucsc.edu/event/2026-spring-all-majors-career-internship-fair/
LOCATION:Colleges Nine and John R. Lewis College Multi-purpose Room\, 615 College Nine Road\, Santa Cruz\, CA\, 95064
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DTSTART;TZID=America/Los_Angeles:20260416T110000
DTEND;TZID=America/Los_Angeles:20260416T130000
DTSTAMP:20260504T000553
CREATED:20260408T202602Z
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SUMMARY:Mirchandani\, C. (BMEB) - Population and Evolutionary Genomics Across Ecological Scales
DESCRIPTION:Sequencing technologies have transformed population and evolutionary genetics\, making it possible to ask questions at scales that were intractable a decade ago. Realizing that potential depends on tailored computational approaches\, and on the tools and infrastructure those approaches are built on. My dissertation works across this spectrum. Using an in vitro Drosophila cell culture system\, I show that mixed Wolbachia infections resolve rapidly and deterministically\, with one strain competitively excluding the other across host species and starting frequencies\, offering an explanation for why mixed infections are rarely observed in nature. In a deep-sea clam and its obligate bacterial symbiont\, I use two ultra-accurate sequencing methods and demographic modeling to directly estimate the effective transmission bottleneck between host generations\, finding it to be roughly eight symbionts\, orders of magnitude below prior cell-count estimates. I also present two tools for population genomics at scale: snpArcher\, a reproducible variant calling workflow developed for the California Conservation Genomics Project and now used across hundreds of species and tens of thousands of samples; and clam\, a Rust-based tool that efficiently estimates population genetic statistics by leveraging callable loci\, producing results identical to existing all-sites approaches at a fraction of the computational cost. Together\, these projects demonstrate how tailored computational approaches can unlock biological insight across diverse systems and scales. \nEvent Host: Cade Mirchandani\, Ph.D. Candidate\, Biomolecular Engineering & Bioinformatics \nAdvisors: Russ Corbett-Detig & Shelbi Russell \nZoom- https://ucsc.zoom.us/j/98034081971?pwd=L5RoKoNEFxyapNhSRoXC8os2K2YZwv.1
URL:https://events.ucsc.edu/event/mirchandani-c-bmeb-population-and-evolutionary-genomics-across-ecological-scales/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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DTSTART;TZID=America/Los_Angeles:20260415T173000
DTEND;TZID=America/Los_Angeles:20260415T203000
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SUMMARY:Kraw Lecture: At the Forefront of AI: Innovation and Discovery
DESCRIPTION:Artificial intelligence is transforming how we understand and solve the world’s most complex challenges—while at the same time causing new challenges and concerns. We invite you to join us for a special UC Santa Cruz Kraw Lecture showcasing the faculty whose groundbreaking research in artificial intelligence is transforming science\, technology\, and society. From advances in autonomous systems and natural language processing to the development of sustainable and responsible AI\, this conversation will highlight the innovative work taking place across disciplines and the real-world impact it is poised to have. \nModerated by special guest Ahmad Thomas\, CEO of the Silicon Valley Leadership Group (SVLG)\, this dynamic discussion will bring together leading researchers to explore how these technologies are shaping the future—accelerating discovery\, addressing complex global challenges\, and opening new frontiers for collaboration. Gain insight into the ideas\, discoveries\, and collaborations shaping the next generation of artificial intelligence research and hear from the leaders advancing this work.\n \n\n\nIn-Person Reception: 5:30 p.m.\nLecture: 6:15 p.m.\n\nRegister Now
URL:https://events.ucsc.edu/event/kraw-lecture-at-the-forefront-of-ai-innovation-and-discovery/
LOCATION:The Quad Conference Center\, 2400 Sand Hill Rd\, Menlo Park\, CA\, 94025\, United States
CATEGORIES:Lectures & Presentations
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DTSTART;TZID=America/Los_Angeles:20260415T120000
DTEND;TZID=America/Los_Angeles:20260415T130000
DTSTAMP:20260504T000553
CREATED:20250923T070000Z
LAST-MODIFIED:20251001T224502Z
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SUMMARY:Engineering Teaching Community (Faculty)
DESCRIPTION:During the chaos of a quarter\, is it hard to find time to reflect and improve as an instructor? Would you like to be a part of an inclusive\, supportive group of engineering instructors who do this in community? ETC is for sharing teaching experiences\, classroom ideas\, research on learning\, and methods that support instructors and students. All are welcome\, and lunch is provided. Please reach out to Jenny Quynn with questions.
URL:https://events.ucsc.edu/event/engineering-teaching-community-faculty/2026-04-15/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences,Training
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260415T110000
DTEND;TZID=America/Los_Angeles:20260415T121500
DTSTAMP:20260504T000553
CREATED:20260407T155318Z
LAST-MODIFIED:20260407T155318Z
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SUMMARY:CSE Colloquium - Algorithmic Problems in Discrete Choice by Ravi Kumar
DESCRIPTION:Presenter: Ravi Kumar\, Google \nAbstract:\nIn discrete choice\, a user selects one option from a finite set of available alternatives\, a process that is crucial for recommendation systems applications in e-commerce\, social media\, search engines\, etc.  A popular way to model discrete choice is through Random Utility Models (RUMs).  RUMs assume that users assign values to options and choose the one with the highest value from among the available alternatives.  RUMs have become increasingly important in the Web era; they offer an elegant mathematical framework for researchers to model user choices and predict user behavior based on (possibly limited)  observations.   While RUMs have been extensively studied in behavioral economics and social sciences\, many basic algorithmic tasks remain poorly understood.  In this talk\, we will discuss various algorithmic and learning questions concerning RUMs. \nBio: \nRavi Kumar has been a research scientist at Google since 2012. Prior to this\, he was at the IBM Almaden Research Center and at Yahoo! Research. His interests include algorithms for massive data\, ML/privacy\, and the theory of computation. He maintains an extensive publication record that includes Test-of-Time Awards from STOC and WWW\, as well as Best Paper Awards from KDD and WWW\, to mention a few. He is an ACM fellow.\n\nHosted by: Professor Sungjin Im \n\nDate and Time: Wednesday\, April 15\, 2026 from 11:00 am – 12: 15 pm \nLocation: Engineering 2\, Room E2-180 (Refreshments such as fruit\, pastries\, coffee\, and tea will be provided.) \n\nZoom Option: https://ucsc.zoom.us/j/93445911992?pwd=YkJ2TQtF79h0PcNXbEcpZLbpK0coiY.1&jst=3 \n\n 
URL:https://events.ucsc.edu/event/cse-colloquium-algorithmic-problems-in-discrete-choice-by-ravi-kumar/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260414T140000
DTEND;TZID=America/Los_Angeles:20260414T160000
DTSTAMP:20260504T000553
CREATED:20260326T162922Z
LAST-MODIFIED:20260326T162922Z
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SUMMARY:Castello\, J. (CSE) - Space Mission Simulation From the Outside In
DESCRIPTION:Robotic space missions often use discrete event simulation to reduce risk in operation. A simulation applies a set of planned activities to a model of mission resources\, and the model’s observed behavior is used to predict real-world outcomes. However\, logically concurrent activities are typically simulated under one possible linearization of their events – an order that may not reflect the eventual reality. Some simulation systems provide mechanisms for controlling the order of events; but this is a solution to a self-imposed problem. We instead question the assumption causing this problem: that events are totally ordered to begin with. \nWe study Merlin\, an open-source simulator developed at Caltech’s Jet Propulsion Laboratory and designed by the author\, that exchanges the traditional total order of events for a *partial* order. Under this approach\, a resumed activity can only observe events that causally precede its resumption\, and concurrent events are reconciled under custom policies. However\, the resulting design is more complex (and less understood) than that of linearizing simulators\, obscuring its key insights. As such\, we have developed Eidolon: a compact core calculus for Merlin-style simulation whose operational semantics follows an “outside-in”\, substitution-based execution model. Although Eidolon is derived from the concepts present in Merlin\, we intend it to be a vehicle for exploring non-linearizing simulation in general. \nFirst\, we propose making Eidolon *incremental*: a change to the set of planned activities should not incur a full resimulation from scratch except in the worse case\, instead reusing any cached computations that are not sensitive to the change. Since mission planning is a highly iterative process involving many simulations and subsequent tweaks to the plan\, incremental resimulation may allow plans to be finalized in less time\, or allow higher-quality plans to be obtained in the same amount of time. The substitution-oriented approach of Eidolon is what makes this feasible\, since individual computations align cleanly with subtree boundaries. \nSecond\, in the spirit of Reynolds’ defunctionalization and Danvy’s rational reconstruction\, we propose developing a denotational semantics for Eidolon and demonstrating its mechanical conversion into an abstract machine. As a mathematical artifact\, Eidolon is designed for reasoning and legibility rather than efficiency; nonetheless\, defunctionalization allows us to *refactor* our semantics into something that stands a chance of being practical. In particular\, defunctionalization reifies the recursive structure of a denotational semantics into an explicit data structure. As a result\, the defunctionalized form of Eidolon will recover an explicit priority queue like that of traditional linearizing simulators\, but without their assumption of total ordering. \nEvent Host: Jonathan Castello\, Ph.D. Student\, Computer Science and Engineering \nAdvisor: Lindsey Kuper  \nZoom- https://ucsc.zoom.us/j/98171466380?pwd=L2rkpr8tEt0MZamYbxxPTfvhAd4gl6.1 \nPasscode- 990848 \n 
URL:https://events.ucsc.edu/event/castello-j-cse-space-mission-simulation-from-the-outside-in/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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