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DTSTART;TZID=America/Los_Angeles:20260202T104000
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SUMMARY:ECE Seminar: Advanced Packaging as the Engine of the AI Systems Era
DESCRIPTION:Presenter: Tolga Acikalin\, System and Package Architect\, Lumilens \nDescription: The rapid rise of artificial intelligence and machine learning—most notably recent breakthroughs in large language models—is reshaping the trajectory of the semiconductor industry and ushering in a new era of system innovation. As performance scaling at the device level slows\, heterogeneous integration (HI) has emerged as a foundational technology to sustain advances in computing and communication. By integrating separately manufactured components with diverse functions into a single system\, HI enables new levels of functionality\, performance\, and efficiency that are no longer achievable through traditional scaling alone. \nRealizing the full potential of heterogeneous systems demands a shift toward holistic system-level co-design\, with advanced packaging assuming a central and strategic role. This talk will briefly review the evolution of packaging technologies and then focus on advanced packaging architectures that enable heterogeneous integration.Topics will include advances in 2D and 3D interconnect technologies\, the introduction of novel packaging materials such as glass substrates\, and the growing role of photonic links\, including co-packaged optics enabled by silicon photonics. The talk will conclude with a discussion of power delivery and thermal management as system-level challenges and opportunities that will shape the next generation of high-performance\, energy-efficient systems. \nBio: Tolga Acikalin received his Bachelor of Science degree in Mechanical Engineering from Middle East Technical University in Ankara\, Turkey\, and his Master of Science and Ph.D. degrees from Purdue University in West Lafayette\, Indiana. \nHe joined Intel in 2007 as a Research and Development Engineer\, working on assembly and test pathfinding projects within the Technology and Manufacturing Group in Chandler\, Arizona. From 2013 to 2025\, he was a Principal Engineer at Intel Labs in Santa Clara\, California\, where he led and influenced innovative strategies for heterogeneous system integration\, spanning package- to wafer-scale solutions\, with a strong emphasis on next-generation interconnect technologies. Tolga is currently a System and Package Architect at Lumilens\, where he focuses on next-generation photonic interconnect solutions\, ranging from near-packaged optics to co-packaged optics. \nHis technical interests include co-packaged optics and silicon photonics\, optical and sub-THz to THz RF high-speed interconnects and the associated advanced package architectures\, novel advanced packaging solutions such as glass substrates\, and optical computing. Tolga has authored or co-authored more than 15 peer-reviewed journal and conference publications in leading APS\, ASME\, and IEEE venues\, including best paper awards at IEEE RFIC and JSCC. He holds nine issued patents and more than 27 additional patent filings. \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-seminar-advanced-packaging-as-the-engine-of-the-ai-systems-era/
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:20260202T120000
DTEND;TZID=America/Los_Angeles:20260202T130000
DTSTAMP:20260417T122235
CREATED:20260122T191932Z
LAST-MODIFIED:20260128T171007Z
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SUMMARY:Statistics Seminar: Mathematical Foundations for Machine Learning from a Nonlinear Time Series Perspective
DESCRIPTION:Presenter: Jiaqi Li\, William H. Kruskal Instructor\, University of Chicago \nDescription:Modern machine learning (ML) algorithms achieve remarkable empirical success\, yet providing rigorous statistical guarantees remains a major challenge\, particularly in distributional theory and online inference methods. In this talk\, we will introduce a novel framework to provide mathematical foundations for ML by bringing powerful tools in nonlinear time series. First\, we focus on the stochastic gradient descent (SGD) with constant learning rates. By interpreting the SGD sequence as a nonlinear AR(1) process\, we can establish the geometric moment contraction (GMC) for SGD regardless of initializations. By this GMC property\, we can derive refined asymptotic theory of SGD and its averaging variant\, including general moment convergence\, quenched central limit theorems\, quenched invariance principles\, and sharp Berry- Esseen bounds. Then\, we extend this theoretical framework to SGD with dropout regularization\, a widely used but theoretically underexplored technique in deep learning. By establishing GMC under explicit learning-rate and dimensional scaling regimes\, we obtain asymptotic normality and invariance principles for dropout SGD and its averaged version. These results enable online inference\, for which we introduce a fully recursive estimator of the long-run covariance matrix appearing in the limiting distributions. The proposed online confidence intervals with asymptotically correct coverage can be generalized to many other ML algorithms. Overall\, viewing online learning algorithms as nonlinear time series provides a powerful toolkit for deriving statistical guarantees in modern ML\, with implications for high-dimensional stochastic optimization and real-time uncertainty quantification. \nBio:Jiaqi Li is a William H. Kruskal Instructor in the Department of Statistics at the University of Chicago. She obtained her PhD in Statistics from Washington University in St. Louis in 2024. Her research focuses on developing theoretical guarantees and statistical inference methods for machine learning algorithms. She also works on time series data\, especially in the high- dimensional settings with complex temporal and cross-sectional dependency structures. She also\ncollaborates with neuroscientists on applications in fMRI and EEG data. \nHosted by: Statistics Department \nZoom link: https://ucsc.zoom.us/j/96647674332?pwd=rCHfeGpKslaGS5iIPP5Jh29mQiMJID.1
URL:https://events.ucsc.edu/event/statistics-seminar-mathematical-foundations-for-machine-learning-from-a-nonlinear-time-series-perspective/
LOCATION:https://ucsc.zoom.us/j/96647674332?pwd=rCHfeGpKslaGS5iIPP5Jh29mQiMJID.1
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260202T160000
DTEND;TZID=America/Los_Angeles:20260202T170000
DTSTAMP:20260417T122235
CREATED:20260128T184233Z
LAST-MODIFIED:20260128T184233Z
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SUMMARY:AM Seminar: Are Graph Learning Methods Actually Learning?
DESCRIPTION:Presenter: Seshadhri Comandur\, Professor of Computer Science\, UCSC \nDescription: There has been a lot of literature on graph machine learning over the past few years\, and a bewildering array of new methods. This talk is based on a series of results making a provocative argument. Maybe many graph machine learning methods are not really that effective\, and the progress we are seeing is an artifact of experimental design and measurement. I will talk about some results showing that low-dimensional embeddings with dot product similarity (arguably the most common graph ML technique) cannot capture salient aspects of real-world graphs. Follow-up work demonstrates that simple benchmarks seem to outperform fancier methods\, and that there are significant shortcomings in existing accuracy measurement. \nBio: C. Seshadhri (Sesh) is a professor of Computer Science at the University of California\, Santa Cruz and an Amazon scholar. Prior to joining UCSC\, he was a researcher at Sandia National Labs\, Livermore in the Information Security Sciences department\, during 2010-2014. His primary interest is the theoretical study of algorithms\, especially those with a mix of graphs and randomization. By and large\, Sesh works at the boundary of theoretical computer science (TCS) and data mining. His work spans many areas: sublinear algorithms\, graph algorithms\, graph modeling\, scalable computation\, and data mining. In the theory world\, his work has resolved numerous open problems in monotonicity testing and graph property testing. A number of his papers in the interface of TCS and applied algorithms have received paper awards at KDD\, WWW\, ICDM\, SDM\, and WSDM. He received the 2019 SDM/IBM Early Career Award for Excellence in Data Analytics. Sesh got his Ph.D from Princeton University and spent two years as a postdoc in IBM Almaden Labs. \nHosted by: Ashesh Chattopadhyay\, Applied Mathematics Department
URL:https://events.ucsc.edu/event/am-seminar-are-graph-learning-methods-actually-learning/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260204T120000
DTEND;TZID=America/Los_Angeles:20260204T130000
DTSTAMP:20260417T122235
CREATED:20260128T170858Z
LAST-MODIFIED:20260128T170858Z
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SUMMARY:Statistics Seminar: Statistical Inference for Multi-Modality Data in the AI Era
DESCRIPTION:Presenter: Qi Xu\, Postdoctoral Researcher\, Department of Statistics & Data Science\, Carnegie Mellon University \nDescription: Multi-modality data are increasingly common across science medicine and technology\, such as imaging\, text\, sensors\, and genomics. These modalities are often high dimensional or unstructured and naturally exhibit blockwise (nonmonotone) missingness where different samples observe different subsets of modalities. Such missingness creates a major obstacle for statistical analyses since classical methods either discard large portions of data or rely on strong modeling assumptions. Recent advances in AI make it possible to generate or predict unobserved modalities from observed ones\, opening new opportunities for data integration. In this talk\, I will focus on statistical inference for blockwise-missing multi-modality data\, while rigorously incorporating modern AI tools. Rooted in semiparametric theory\, there is a long-term open problem that theoretically optimal estimating function under non-monotone missingness is computationally intractable\, even under the missing completely at random mechanism. I introduce a tractable approximation to the optimal estimating equation through a novel Restricted ANOVA hierarchY or RAY decomposition and its almost-eigen-operator property. This leads to a new class of estimators that leverage predictive or generative AI models to borrow information across datasets while remaining unbiased and asymptotically normal. Motivated by the property of the RAY estimator\, we extend the RAY estimator to a class of unbiased\, consistent\, and computationally tractable estimators. The most efficient estimator in this class is then derived\, named as Adaptive RAY estimator\, which optimally integrating all available data and prediction from AI. Simulation studies and a single cell multi-omics application demonstrate that the proposed framework enables stable and efficient inference for complex multi modality data in the AI era. This is a joint work with Lorenzo Testa\, Jing Lei and Kathryn Roeder\, and the paper is available on arXiv: https://arxiv.org/abs/2509.24158 \nBio: Qi Xu is a postdoctoral researcher in the Department of Statistics & Data Science at Carnegie Mellon University. His research interests lie broadly in statistics and machine learning\, especially in data integration and AI for statistics\, with their applications in genomics and mobile health. He received his Ph.D. from the Department of Statistics at University of California\, Irvine\, and the Master degree from University of Illinois Urbana Champaign\, and the Bachelor degree (with honors) from Tongji University. \nHosted by: Statistics Department \nZoom link: https://ucsc.zoom.us/j/91740050783?pwd=joK9hfwvM7FZ48acaiow8OY4ZlBDXA.1
URL:https://events.ucsc.edu/event/statistics-seminar-statistical-inference-for-multi-modality-data-in-the-ai-era/
LOCATION:https://ucsc.zoom.us/j/91740050783?pwd=joK9hfwvM7FZ48acaiow8OY4ZlBDXA.1
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260206T121500
DTEND;TZID=America/Los_Angeles:20260206T130000
DTSTAMP:20260417T122235
CREATED:20260112T191838Z
LAST-MODIFIED:20260112T191838Z
UID:10008344-1770380100-1770382800@events.ucsc.edu
SUMMARY:GDAC Portfolio Workshop
DESCRIPTION:Workshop\n\nPart of the GDA Conference on campus – come and learn best practices for creating a portfolio to use in the gaming industry! \n  \nKNOW OUR POLICIES \nJob postings and employer announcements 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. \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. \nOnline Safety Tips \nUC Santa Cruz Career Success〡Hahn 125 \nEmail Career Success: csuccess@ucsc.edu \nVisit Career Success Website: https://careers.ucsc.edu
URL:https://events.ucsc.edu/event/gdac-portfolio-workshop/
LOCATION:Cultural Center – Merrill College\, 641 Merrill Rd\, Santa Cruz\, 95064\, United States
CATEGORIES:Lectures & Presentations,Meetings & Conferences,Seminars,Workshop
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GEO:37.0003908;-122.0534175
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Cultural Center – Merrill College 641 Merrill Rd Santa Cruz 95064 United States;X-APPLE-RADIUS=500;X-TITLE=641 Merrill Rd:geo:-122.0534175,37.0003908
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260209T104000
DTEND;TZID=America/Los_Angeles:20260209T234500
DTSTAMP:20260417T122235
CREATED:20260202T233432Z
LAST-MODIFIED:20260202T233432Z
UID:10009148-1770633600-1770680700@events.ucsc.edu
SUMMARY:ECE Seminar: Integrated Micro- and Nanosystems for Biosensing\, Neural Therapy\, and Nanotoxicity
DESCRIPTION:Presenter: Dr. Ke Du\, Associate Professor of Chemical and Environmental Engineering\, University of California\, Riverside \nDescription: Miniaturized micro- and nanofluidic systems\, integrated with biochemistry\, microscopy\, nanomaterials\, and computer vision algorithms\, provide powerful platforms for diverse biomedical applications\, including molecular diagnostics\, biophysics\, and optogenetics. In this presentation\, we introduce a pneumatically controlled nano-sieve device with nanolithography-defined microstructures designed to enhance target capture efficiency in bodily fluids. This system incorporates sheath flow configurations\, surface-enhanced Raman probes\, and CRISPR reactions for the sensitive and multiplexed detection of drug-resistant bacteria in nanoconfined environments. We also highlight our recent advancements in implantable devices for adeno-associated virus (AAV) delivery and the treatment of neurological disorders in mouse models. These devices\, fabricated via high-resolution 3D printing\, utilize total internal reflection at the liquid–air–microstructure interface to efficiently stimulate neurons. Finally\, we integrate experimental approaches with molecular dynamics simulations to study the interactions between arbitrary nanoparticles and living cells—advancing our understanding of nanotoxicity and guiding the design of next-generation drug delivery systems. \nBio: Dr. Ke Du is an Associate Professor of Chemical and Environmental Engineering at the University of California\, Riverside. He established his independent research lab in 2018 following postdoctoral training with Richard Mathies at the University of California\, Berkeley\, and Holger Schmidt at the University of California\, Santa Cruz. His research team focuses on molecular diagnostics for infectious diseases such as sepsis\, in vivo bioimaging\, and nanotoxicology. Dr. Du has received numerous honors\, including the EIPBN Inaugural Early Career Award (2024) and the NIH Maximizing Investigators’ Research Award (2021). He was recognized as an Emerging Investigator by Lab on a Chip (2024) and Nanoscale (2025)\, and named a Global Rising Star in Sensing by ACS Sensors. His research is supported by federal agencies and industry partners\, including NIH NIGMS\, NIH NIAID\, NSF CBET\, NSF CMMI\, USDA\, DOE\, the Burroughs Wellcome Fund\, Mammoth Biosciences\, and Biological Mimetics. Beyond his research activities\, Dr. Du serves as an Early Career Editorial Advisory Board member for Biomicrofluidics (AIP Publishing) and Sensors and Actuators Reports (Elsevier). \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-seminar-integrated-micro-and-nanosystems-for-biosensing-neural-therapy-and-nanotoxicity/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2026/01/BElogoWHITE.png
GEO:37.0009723;-122.0632371
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260209T123000
DTEND;TZID=America/Los_Angeles:20260209T133000
DTSTAMP:20260417T122235
CREATED:20260126T235923Z
LAST-MODIFIED:20260204T204343Z
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SUMMARY:CM Seminar - “The ‘Social’ Side of Social Virtual Reality”
DESCRIPTION:Presented by: Bree McEwan \nDescription: One of the potential use cases of virtual reality is to create spaces where humans can interact with each other or virtual agents across distances. However\, despite many of the technological challenges of social VR being solved\, social VR does not see poised for widespread adoption. Multi-user social VR needs to be perceived not just as a technology to be solved but an emerging communication channel. Social science approaches\, particularly from communication scholars\, are needed to truly understand the way that humans engage with VR and each other in these new environments. McEwan’s talk will outline a program of research using qualitative and quantitative approaches to understand communication processes\, effects\, and user perceptions of VR design to deepen our understanding of how people engage with environments and each other in social VR. \nBio: Bree McEwan is a Professor in the Institute of Communication\, Culture\, Information and Technology\, an associate director of the Data Sciences Institute\, and a faculty affiliate of the Schwartz Reisman Institute for Technology and Society at the University of Toronto. She is a co- organizer and founder of the Questioning Reality conference\, a social VR research incubator. McEwan authored Navigating New Media Networks and co-authored Interpersonal Encounters. She directs the McEwan Mediated Communication Lab which researches the intersection of technology and social interaction. McEwan has published on relational maintenance on social network sites\, perceived social affordances of communication channels\, linguistic patterns in online communities\, and the diffusion of information through social media. In addition\, McEwan has metascience interests focused on transparency and replication in the social sciences. Current studies of the McMC Lab focus on affordances of social virtual environments\, cognition and heuristics related to learning in VR spaces\, and nonverbal communication patterns of avatars and agents. \nHosted by: Professor Katherine Isbister \nWhen: Monday\, February 9\, 2026 from 12:30PM to 1:30PM \nLocation:  \nIN-PERSON @ UCSC Main Campus\, E2-280. \nViewing room @ SVC 3212.   \nLUNCH WILL BE PROVIDED AT BOTH LOCATIONS! Faculty and students are highly encouraged to attend. \nZoom info: \nhttps://ucsc.zoom.us/j/91469785121?pwd=F0jplMgh4eTjy6qNZI0lEhlljs0XhG.1 \nMeeting ID: 914 6978 5121\nPasscode: 183098
URL:https://events.ucsc.edu/event/cm-seminar-the-social-side-of-social-virtual-reality/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260209T160000
DTEND;TZID=America/Los_Angeles:20260209T170000
DTSTAMP:20260417T122235
CREATED:20260114T182449Z
LAST-MODIFIED:20260114T182750Z
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SUMMARY:AM Seminar: Data Driven Modeling for Scientific Discovery and Digital Twins
DESCRIPTION:Presenter: Dongbin Xiu\, Professor\, Ohio State University \nDescription:We present a data-driven modeling framework for scientific discovery\, termed Flow Map Learning (FML). This framework enables the construction of accurate predictive models for complex systems that are not amenable to traditional modeling approaches. By leveraging data and the expressiveness of deep neural networks (DNNs)\, FML facilitates long-term system modeling and prediction even when governing equations are unavailable. FML is particularly powerful in the context of Digital Twins\, an emerging concept in digital transformation. With sufficient offline learning\, FML enables the construction of simulation models for key quantities of interest (QoIs) in complex Digital Twins\, when direct mathematical modeling of the QoIs is infeasible. During the online execution of a Digital Twin\, the learned FML model can simulate the QoIs without reverting to the computationally intensive Digital Twin simulation model. As a result\, FML serves as an enabling methodology for real-time control and optimization for complex systems. \nBio: Dongbin Xiu received his Ph.D degree from the Division of Applied Mathematics of Brown University in 2004. He joined the Department of Mathematics of Purdue University in 2005 and moved to the University of Utah in 2013. In 2016\, He joined The Ohio State University as Professor of Mathematics and Ohio Eminent Scholar. He received NSF CAREER award in 2007 and was elected to SIAM Fellow in 2023. He is currently the Editor-in-Chief of the Journal of Computational Physics and the founding Editor-in-Chief of Journal of Machine Learning for Modeling and Computing (JMLMC). His current research focuses on developing efficient numerical methods for scientific machine learning\, data driven discovery and digital twins. \nHosted by: Daniele Venturi\, Applied Mathematics
URL:https://events.ucsc.edu/event/am-seminar-data-driven-modeling-for-scientific-discovery-and-digital-twins/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260211T150000
DTEND;TZID=America/Los_Angeles:20260211T160000
DTSTAMP:20260417T122235
CREATED:20260120T172348Z
LAST-MODIFIED:20260120T172457Z
UID:10008675-1770822000-1770825600@events.ucsc.edu
SUMMARY:EOP Students - "Words That Impress: Creating a Great Résumé & Cover Letter"
DESCRIPTION:Crafting a fantastic Resume and Cover Letter are the key to getting an interview and landing a job!  Join us for this informative workshop that will cover best practices for resume and cover letter development.  You’ll gain understanding about the perfect format\, navigating AI filters\, and how to write captivating resume bullet points and engaging cover letter paragraphs.  The presentation will be 30 minutes\, followed by 30 minutes of optional worktime here in our office with coaches to give you brief input. \nWe will provide captions for the presentation. If 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/eop-students-words-that-impress-creating-a-great-resume-cover-letter/
LOCATION:Career Success Student Lounge (125 Hahn)\, 1156 High Street\, Santa Cruz\, CA\, 95064\, United States
CATEGORIES:Meetings & Conferences,Seminars,Training,Workshop
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260212T100000
DTEND;TZID=America/Los_Angeles:20260212T140000
DTSTAMP:20260417T122235
CREATED:20260202T180539Z
LAST-MODIFIED:20260202T180539Z
UID:10009142-1770890400-1770904800@events.ucsc.edu
SUMMARY:Virtual Resume Review
DESCRIPTION:Meet with actual recruiters for this virtual resume review! You’ll get a chance to show them your resume and get feedback from professionals. \nGet career ready with Career Success! \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. \nHandshake is committed to building an accessible product\, as well as an ongoing\, sustainable process for maintaining accessibility. Please contact slugtalent@ucsc.edu if you need accessibility support at least 5 days prior to the event date. \nQuestions? Email slugtalent@ucsc.edu
URL:https://events.ucsc.edu/event/virtual-resume-review/
LOCATION:
CATEGORIES:Drop-In Support,Lectures & Presentations,Seminars,Training,Workshop
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260212T114000
DTEND;TZID=America/Los_Angeles:20260212T133000
DTSTAMP:20260417T122235
CREATED:20260211T234225Z
LAST-MODIFIED:20260211T234252Z
UID:10009212-1770896400-1770903000@events.ucsc.edu
SUMMARY:BME Seminar: Population Genetics in an Era of Genomic Health
DESCRIPTION:Presenter: Dr. Eimear Kenny\, Founding Director of the Institute for Genomic Health and a Endowed Chair and Professor for Genomic Health at the Icahn School of Medicine at Mount Sinai \nDescription: The overarching goal of my work is to advance genomics in medicine and research through diversity and innovation. The work of my group seeks to enrich our understanding of human genomic diversity by focusing on populations underrepresented in genomics\, developing and disseminating computational genomic tools to enhance precision and accuracy in diverse populations\, unveiling genetic architectures of diseases that can track with demographic history\, and advancing diversity large-scale genomic databases. We also work to integrate new paradigms of genomic medicine into routine clinical practice\, ensuring genomic insights are appropriately applied in real-world healthcare settings and lead to improved patient care and health equity. I will discuss aspects of this work with emphasis on why we should promote inclusivity\, innovate methodologies\, and harness the potential of diverse populations in genomic health.  \nBio: Eimear Kenny\, PhD\, is the Founding Director of the Institute for Genomic Health\, building resources for integrating genomic information and AI in routine clinical care\, and supporting the sequencing and return of results to a diverse patients in the Mount Sinai Health System. She also the Founding Director of the Center for Translational Genomics and a Endowed Chair and Professor of Genomic Health\, at the Icahn School of Medicine at Mount Sinai\, working on computational and translational genomic research. She is Principal Investigator in many large NIH-funded international consortium focused on computational genomics and genomic medicine\, including eMERGE\, PRIMED\, CSER\, GSP\, TOPMed\, PAGE\, and HPRC. She is a strong advocate for the importance of diversity in genomic research\, is improving the accessibility of genetics to global populations\, and has led multiple genetics-based clinical trials. Her exceptional contributions to the field earned her the prestigious Early Career Award from the American Society of Human Genetics in 2022. In addition to her academic and research roles\, Dr. Kenny serves as a scientific advisor to various genomic medicine initiatives in government\, non-profit\, and industry sectors. \nHosted by: Professor Karen Miga\, BME Department
URL:https://events.ucsc.edu/event/8123/
LOCATION:Physical Sciences Building\, Physical Sciences Building\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260223T104000
DTEND;TZID=America/Los_Angeles:20260223T114500
DTSTAMP:20260417T122235
CREATED:20260219T235259Z
LAST-MODIFIED:20260219T235259Z
UID:10009257-1771843200-1771847100@events.ucsc.edu
SUMMARY:ECE 290 Seminar: High-Frequency Circuits for Next-Generation Communication: From Beyond-5G mm-Wave MIMO to Co-Packaged Optics
DESCRIPTION:Presenter: Susnata Mondal\, Research Scientist\, Intel \nDescription: \nRapid growth in wireless connectivity\, cloud computing\, and AI infrastructure is driving an urgent need for communication systems that can deliver higher data rates with improved energy efficiency. Meeting these demands requires advances in high-frequency circuit design across both wireless and wireline domains\, spanning millimeter-wave radios to optical interconnects. \nThis seminar will present recent developments in two complementary directions. The first focuses on millimeter-wave MIMO systems for beyond-5G communication. Conventional phased arrays are typically limited to single-stream beamforming\, while fully digital solutions\, although flexible\, incur significant power and area overhead. Emerging hybrid architectures enable multi-stream\, multi-band operation with improved spectral efficiency by combining RF and baseband beamforming\, supporting carrier aggregation\, adaptive spatial processing\, and full-duplex operation. Prototype systems have demonstrated scalable multi-antenna transceivers operating across 28/37 GHz bands\, integrating RF front-ends\, beamforming networks\, and system-level signal processing. \nThe second direction addresses high-performance computing interconnects\, where electrical links increasingly struggle with loss and energy efficiency at high data rates. Co-packaged optics offers a promising alternative by placing optical engines in close proximity to compute and switch chips\, improving link efficiency. The seminar will discuss circuit and system innovations enabling scalable optical I/O\, including equalization\, clocking\, and high-linearity design techniques for high-speed optical links\, along with recent prototype demonstrations achieving high data rates with low energy per bit. \nBio: Susnata Mondal received the B.Tech. and M.Tech. degrees in E&ECE from IIT Kharagpur in 2015 and the Ph.D. degree in ECE from Carnegie Mellon University\, Pittsburgh\, in 2020. Since then\, he has been a Research Scientist at Intel\, Hillsboro\, working on co-packaged optics and high-speed I/O. He has authored several lead-author papers in ISSCC and JSSC and holds 18 U.S. patents. He is a Technical Program Committee member of RFIC and an Associate Editor for TCAS-I\, TCAS-II\, and SSCL. His honors include the SSCS Predoctoral Achievement Award\, the Best Ph.D. Thesis Award from CMU ECE\, and selection as an SSCS Rising Star. \nHosted by: Professor Soumya Bose\, ECE Department \nZoom: https://ucsc.zoom.us/j/97975378707?pwd=ljcgaCfhMmhZ88Vt5dqQUBVQRjehOx.1
URL:https://events.ucsc.edu/event/ece-290-seminar-high-frequency-circuits-for-next-generation-communication-from-beyond-5g-mm-wave-mimo-to-co-packaged-optics/
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:20260223T160000
DTEND;TZID=America/Los_Angeles:20260223T170000
DTSTAMP:20260417T122235
CREATED:20260114T175234Z
LAST-MODIFIED:20260219T193254Z
UID:10008383-1771862400-1771866000@events.ucsc.edu
SUMMARY:AM Seminar: Multiscale Modeling of Cellular Membranes and Oncogenic Proteins
DESCRIPTION:Presenter: Liam Stanton\, Professor\, San Jose State University \nDescription: In this talk\, I will present a multiscale model for cellular membranes\, which is trained on molecular dynamics simulations. The model is constructed within the formalism of dynamic density functional theory and can be extended to include features such as the presence of proteins and membrane deformations. This new framework has enabled simulations that can access length-scales on the order of microns and time-scales on the order of seconds\, all while maintaining near fidelity to the underlying molecular interactions. Such scales are significant for accessing biological processes associated with signaling pathways within cells and experimentally relevant regimes. As applications\, we consider the cellular interactions of two membrane proteins of biological interest: G protein-coupled receptors (GPCRs) and RAS-RAF complexes\, the latter being implicated in roughly 30% of human cancers. \nBio: Dr. Stanton received his PhD in Applied Mathematics from Northwestern University in 2009. He went on to do a postdoc at Lawrence Livermore National Laboratory (LLNL)\, where he later became a staff scientist at the Center for Applied Scientific Computing. In 2018\, he joined the faculty at San Jose State University in the Department of Mathematics and Statistics\, where he is now an associate professor and a recent recipient of the Dean’s Scholar Award in Research Excellence. Dr. Stanton’s current research interests are in the multiscale modeling of non-equilibrium\, many-body systems. In particular\, he focuses on areas such as fusion energy\, biophysical systems and statistical mechanics. \nHosted by: Applied Mathematics
URL:https://events.ucsc.edu/event/am-seminar-multiscale-modeling-of-cellular-membranes-and-oncogenic-proteins/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2026/01/Liam-Stanton-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260223T160000
DTEND;TZID=America/Los_Angeles:20260223T170000
DTSTAMP:20260417T122235
CREATED:20260126T202042Z
LAST-MODIFIED:20260126T202042Z
UID:10009108-1771862400-1771866000@events.ucsc.edu
SUMMARY:Statistics Seminar: Rotated Mean-Field Variational Inference and Iterative Gaussianization
DESCRIPTION:Presenter: Sifan Liu\, Assistant Professor\, Department of Statistical Science\, Duke University \nDescription:Mean-field variational inference (MFVI) approximates a target distribution with a product distribution in the standard coordinate system\, offering a scalable approach to Bayesian inference but often severely underestimating uncertainty due to neglected dependence. We show that MFVI can be greatly improved when performed along carefully chosen principal component axes rather than the standard coordinates. The principal components are obtained from a cross-covariance matrix of the target’s score function and identify orthogonal directions that capture the dominant discrepancies between the target distribution and a Gaussian reference. Performing MFVI in a rotated system defines a rotation followed by a coordinatewise transformation that moves the target closer to Gaussian. Iterating this procedure yields a sequence of transformations that progressively Gaussianize the target. The resulting algorithm provides a computationally efficient construction of normalizing flows\, requiring only MFVI sub-problems and avoiding large-scale optimization. In posterior sampling tasks\, we demonstrate that the proposed method greatly outperforms standard MFVI while achieving accuracy comparable to normalizing flows at a much lower computational cost. \nBio: Sifan Liu is an Assistant Professor in the Department of Statistical Science at Duke University. She was previously a research scientist at the Flatiron Institute and received her Ph.D. in Statistics from Stanford University. Her research interests include sampling\, generative modeling\, and selective inference. \nHosted by: Statistics Department
URL:https://events.ucsc.edu/event/statistics-seminar-rotated-mean-field-variational-inference-and-iterative-gaussianization/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260224T120000
DTEND;TZID=America/Los_Angeles:20260224T130000
DTSTAMP:20260417T122235
CREATED:20260112T193435Z
LAST-MODIFIED:20260112T193435Z
UID:10008346-1771934400-1771938000@events.ucsc.edu
SUMMARY:Arts Division - Application and Interview Skills That Will Get You A Great Job!
DESCRIPTION:Having a stand-out application and exceptional interview skills are essential for landing a great job! Join us for this fast-paced and interactive one-hour online workshop where we’ll explore how to submit an application that makes an employer WANT to interview you\, as well as top-notch tips and techniques to prepare for and answer  interview questions with intentionality\, confidence\, and skill. \nWe will provide captions for the presentation. If 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/arts-division-application-and-interview-skills-that-will-get-you-a-great-job/
LOCATION:https://ucsc.zoom.us/j/2614256373?pwd=WVdISUN0Q3ZHTXhSak5VVWN5OVc3dz09
CATEGORIES:Meetings & Conferences,Seminars,Workshop
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2025/12/Career-Success-logo-circle-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260225T150000
DTEND;TZID=America/Los_Angeles:20260225T170000
DTSTAMP:20260417T122235
CREATED:20260211T203445Z
LAST-MODIFIED:20260218T010402Z
UID:10009206-1772031600-1772038800@events.ucsc.edu
SUMMARY:February 25\, 2026 | Works-in-Progress with Geoffrey Bowker
DESCRIPTION:Wednesday\, February 25\, 2026 \n3:00 – 5:00 PM \nHumanities 1\, Room 210 or Zoom (Registration) \nJoin SJRC scholars in Humanities 1\, room 210 or on Zoom for an open discussion of works-in-progress! This is a wonderful chance to engage with one another’s ideas\, and support our own internal work. \nAt this session\, we will hear from Geoffrey Bowker\, Emeritus Professor in Irvine and Science & Justice Advisor about works-in-progress and ongoing work on the death of infrastructure\, AI\, and underwater network cables and his collaborative comic book on Actor Network Theory. SJRC members Warren Sack and Dimitris Papadopolous will act as “warm up” discussants. \nContact Colleen Stone (colleen@ucsc.edu) or Maria Puig de la Bellacasa (puig@ucsc.edu) for the readings\, including a new comic book on the graveyard of machines! \nRegister for Zoom here. \nGeoffrey C. Bowker is Emeritus Professor at the School of Information and Computer Science\, University of California at Irvine\, where he directed a laboratory for Values in the Design of Information Systems and Technology. He was also Professor of and Senior Scholar in Cyberscholarship at the University of Pittsburgh School\, and Executive Director\, Center for Science\, Technology and Society\, Santa Clara. He was awarded the prestigious 4S Bernal Prize in 2024 for his distinguished\, career-long contributions to the field of Science and Technology Studies (STS). His book Memory Practices in the Sciences (MIT Press 2008) won the 2007 Ludwig Fleck Prize of the Society for Social Studies of Science\,  and was awarded “Best Information Science Book” by the American Society for Information Science and Technology (ASIS&T). \nCo-sponsored by earthecologies x technoscience conversations\, History of Consciousness
URL:https://events.ucsc.edu/event/february-25-2026-works-in-progress-with-geoffrey-bowker/
LOCATION:CA
CATEGORIES:Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260225T173000
DTEND;TZID=America/Los_Angeles:20260225T190000
DTSTAMP:20260417T122235
CREATED:20260130T054047Z
LAST-MODIFIED:20260209T232119Z
UID:10009139-1772040600-1772046000@events.ucsc.edu
SUMMARY:Exploring Research Pathways at Baskin Engineering
DESCRIPTION:Curious how being part of a research lab can supercharge your experience as a Baskin Engineer?   \nJoin us for this informative event to learn about opportunities to solve open-ended problems\, build deeper technical skills\, and learn how to think like an engineer. \nWe’ll kick things off with a quick overview of the kinds of research opportunities available to undergrads and how to get started\, then you’ll hear directly from students who’ve worked in research labs as undergraduates. They’ll share what they actually did day-to-day\, the skills they built (technical and professional)\, and how research shaped their confidence\, career goals\, and next steps. We’ll then have pizza and networking to end the evening. \nWhether you’re aiming for industry\, graduate school\, or just want hands-on experience that goes beyond coursework\, this panel will help you understand how undergraduate research can set you apart—academically\, professionally\, and personally! \n\nRegister via Handshake. \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/exploring-research-pathways-at-baskin-engineering/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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GEO:37.0009723;-122.0632371
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260226T114000
DTEND;TZID=America/Los_Angeles:20260226T131500
DTSTAMP:20260417T122235
CREATED:20260212T231636Z
LAST-MODIFIED:20260212T231636Z
UID:10009217-1772106000-1772111700@events.ucsc.edu
SUMMARY:BME 280B Seminar: The evolution of structural variation across vertebrate genomes
DESCRIPTION:Presenter: Peter Sudmant\, Assistant Professor of Integrative Biology\, University of California\, Berkeley \nDescription: Structural variants (SVs) contribute substantially to genetic variation and play vital roles in adaptation and disease. However\, SVs are poorly captured by short read sequencing and thus are understudied\, particularly in non-model organisms. Here\, taking advantage of recently generated haplotype-resolved genome assemblies from >600 vertebrate species\, we present the most comprehensive survey of the diversity of SVs and single nucleotide variants (SNVs) across the vertebrate tree of life to date. \nBio: Peter Sudmant is an Assistant Professor of Integrative Biology at the University of California Berkeley. Prior to joining UC Berkeley\, Dr Sudmant completed his PhD at the University of Washington in the Lab of Dr Evan Eichler as HHMI International Fellow. Dr Sudmant went on to complete a postdoc with Christopher Burge at MIT as a Genentech fellow of the Life Sciences Research Foundation. Dr Sudmant is a recipient of the American Foundation for Aging Research Junior Faculty Award and a Hellman Fellow. \nHosted by: Professor Russ Corbett-Detig\, BME Department
URL:https://events.ucsc.edu/event/bme-280b-seminar-the-evolution-of-structural-variation-across-vertebrate-genomes/
LOCATION:Physical Sciences Building\, Physical Sciences Building\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2026/02/PeterHSudmant.jpg
GEO:36.9996638;-122.0618552
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260227T160000
DTEND;TZID=America/Los_Angeles:20260227T170000
DTSTAMP:20260417T122235
CREATED:20260218T234050Z
LAST-MODIFIED:20260218T234050Z
UID:10009251-1772208000-1772211600@events.ucsc.edu
SUMMARY:"Career Success Resources" for UTC Transfer/Continuing Students
DESCRIPTION:Come and find out ALL that Career Success has to offer to UCSC students – every resources is FREE for you!  Resume/Cover Letter feedback\, Career Coaching Appointments\, Graduate School Preparation\, Interviewing Skills\, Networking Opportunities\, Career Fairs\, Professional Development Workshops and MORE! \nAll students are welcome. The presentation will last 30 minutes\, followed by a 15-minute Q&A. \nWe will provide captions for the presentation. If 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/career-success-resources-for-utc-transfer-continuing-students/
LOCATION:CA
CATEGORIES:Exhibits,Seminars,Workshop
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END:VCALENDAR