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DTSTART;TZID=America/Los_Angeles:20260330T132500
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DTSTAMP:20260427T101612
CREATED:20260424T192853Z
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SUMMARY:Restoring Connections: Indigenous Environmental Governance and Eco-Cultural Revitalization along the Central California Coast
DESCRIPTION:Alexii Sigona from UC Davis\nIn Person Location: ISB 221 \nZoom Link \nThis presentation examines how California Tribal nations enact their place-based responsibilities as stewards of their ancestral lands and waters. Using ethnographic research with the Amah Mutsun Tribal Band (AMTB) of central coastal California\, I trace the processes of Tribal eco-cultural revitalization enacted through collaborative research and land stewardship at Quiroste Valley Cultural Preserve. I illuminate how a non-federally recognized and landless nation leverages research findings substantiating the ecological benefits of Tribal stewardship for co-management and land access opportunities. I argue that Indigenous nations strategically engage and transform environmental conservation spaces to maintain and revitalize their knowledge systems despite settler colonial laws and regulations that fail to acknowledge Tribal sovereignty or accommodate Indigenous epistemologies. Finally\, I will discuss emerging international research collaborations that examine how Indigenous epistemologies are reflected in the environmental governance of protected areas.
URL:https://events.ucsc.edu/event/restoring-connections-indigenous-environmental-governance-and-eco-cultural-revitalization-along-the-central-california-coast/
CATEGORIES:Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260330T160000
DTEND;TZID=America/Los_Angeles:20260330T170000
DTSTAMP:20260427T101612
CREATED:20260325T182049Z
LAST-MODIFIED:20260325T182049Z
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SUMMARY:AM Seminar:  Flexible Filaments and Swimming Cups: Just Go with the Flow
DESCRIPTION:Presenter: Lisa Fauci\, Professor\, Tulane University \nDescription: The motion of waving or rotating filaments in a fluid environment is a common element in many biological and engineered systems. Examples at the microscale include chains of diatoms moving in the ocean\, flagella of individual cells comprising multicellular colonies\, as well as engineered nanorobots designed to deliver drugs to tumors. In this talk we will present mathematical and computational insights into these flows at the microscale. Our modeling approaches will vary from detailed models that capture flagellar material properties and wave geometry to minimal force-dipole models that represent a flagellum by a single point. We will investigate a few intriguing systems\, including the journey of extremely long insect sperm flagella through tortuous female reproductive tracts\, and the hydrodynamic performance of shape-shifting Choanoeca flexa colonies. \nBio: Lisa Fauci received her PhD from the Courant Institute of Mathematical Sciences at New York University\, and directly after that joined the Department of Mathematics at Tulane University in New Orleans\, Louisiana\, USA. Her research focuses on biological fluid dynamics\, with an emphasis on using modeling and simulation to study the basic biophysics of organismal locomotion and reproductive mechanics. Lisa served as president of the Society for Industrial and Applied Mathematics (SIAM) in 2019-2020. She is a fellow of SIAM\, the American Mathematical Society\, the Association for Women in Mathematics\, and the American Physical Society. In 2023\, she was elected to the US National Academy of Sciences. \nHosted by: Applied Mathematics Department
URL:https://events.ucsc.edu/event/am-seminar-flexible-filaments-and-swimming-cups-just-go-with-the-flow/
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260401T103000
DTEND;TZID=America/Los_Angeles:20260401T120000
DTSTAMP:20260427T101612
CREATED:20260320T232457Z
LAST-MODIFIED:20260320T232457Z
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SUMMARY:FINS: Fisheries Insights Narratives and Stories seminar series featuring Dr. Randi Solhjell
DESCRIPTION:Please join us for the first talk in the FINS: Fisheries Insights Narratives and Stories seminar series featuring Fulbright Fellow Dr. Randi Solhjell. Her talk\, “Managing a Fishy Business: Norway’s foreign aid and its impact on global fisheries governance” will discuss how Norwegian actors shape global fisheries policy through diplomacy\, regulatory innovation and engagement in international institutions such as the UN FAO. She will also discuss how she studies fisheries from a social/political science lens. \nFINS: Fisheries Insights Narratives and Stories Seminar Series \nDr. Randi Solhjell\, Fulbright fellow\, University of Oslo \nTitle: Managing a Fishy Business: Norway’s foreign aid and its impact on global fisheries governance \nWhen: Wednesday\, April 1st from 11am-12pm  \nWhere: Ocean Health Building Rm 118\, 115 McAllister Way\, Santa Cruz\, CA 95060 and on Zoom \nAgenda: \n\n10:30 am – 11:00 am – Professional Networking Session (in person only – light snacks and refreshments provided)\n11 am to 12 pm – presentation followed by Q & A \n12 pm – 1pm – student lunch with the speaker in OHB courtyard → sign up here\n\nZoom Meeting Registration: https://ucsc.zoom.us/meeting/register/NwH0_qUbSeuIm3A76DY-Dg \nRandi Solhjell is a postdoctoral researcher at the Department of Criminology and Sociology of Law\, Faculty of Law\, The University of Oslo\, and visiting Fulbright scholar at the Science and Justice Research Center\, the University of California\, Santa Cruz. She holds a PhD in Political Science from the London School of Economics. 
URL:https://events.ucsc.edu/event/fins-fisheries-insights-narratives-and-stories-seminar-series-featuring-dr-randi-solhjell/
LOCATION:Ocean Health Building\, McAllister Way\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars,Social Gathering
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260401T110000
DTEND;TZID=America/Los_Angeles:20260401T121500
DTSTAMP:20260427T101612
CREATED:20260325T164503Z
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SUMMARY:CSE Colloquium - Messages from across the event horizon:  AI Agentic Design for Computer Architecture (and more generalizable learnings)
DESCRIPTION:Presenter: Christopher Fletcher\, UC Berkeley \nAbstract: \nIt is difficult to escape the hype of agentic coding.  Is the hype real?  Are we still living in ~Summer 2025 — when AI coding would accomplish little more than upset its human supervisor?  Or has a level shift in technology finally arrived? \nIn this talk I will argue the latter.  I will describe a self-imposed experiment to discover modern AI coding tools’ capabilities (starting mid February 2026).  I will try (my best) to communicate my utter and sheer surprise at where the state of the art actually is.  Then I will do a deep dive and try to relay everything I have learned about this new engineering discipline—based on my attempts to push the technology as hard as I can for the past 1.5 months.  I will conclude by pontificating about the future of computer architecture and academic research more generally. \nBio: \nChristopher Fletcher is an Associate Professor of EECS at UC Berkeley. He is a computer architect whose research spans architecture\, security\, and domain-specific acceleration\, especially at their intersections from cryptography and hardware attacks to algorithm-to-hardware co-design. His work has received 31 paper recognitions and several other honors\, including the NSF CAREER Award\, Intel and Google faculty awards\, UIUC research and promotion awards\, election to DARPA ISAT\, and MIT’s George M. Sprowls Award\, with related work also recognized by Scientific American as one of ten “World Changing Ideas.” \nHosted by: Professor Alvaro Cardenas \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 \n 
URL:https://events.ucsc.edu/event/cse-colloquium-messages-from-across-the-event-horizon-ai-agentic-design-for-computer-architecture-and-more-generalizable-learnings/
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:20260402T114000
DTEND;TZID=America/Los_Angeles:20260402T131500
DTSTAMP:20260427T101612
CREATED:20260401T004313Z
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SUMMARY:BME 280B Seminar: Small changes\, Big consequences: Modulators of Alphavirus Assembly
DESCRIPTION:Presenter: Dr. Suchetana (Tuli) Mukhopadhyay\, Professor\, Indiana University \nDescription: N/A \nBio: Suchetana “Tuli” Mukhopadhyay\, Ph.D.\, is a professor in the Department of Biology at Indiana University\, Bloomington. She received her B.A. in chemistry from DePauw University and her Ph.D. in chemistry from the University of Illinois at Chicago. Following her doctoral studies\, Mukhopadhyay conducted postdoctoral research at the University of Texas Southwestern Medical Center\, focusing on G-protein mediated signaling. She continued her postdoctoral work at Purdue University in structural virology\, where she developed a strong interest in arboviruses. Mukhopadhyay joined Indiana University in 2005\, where she established her research program on the assembly and spread of alphaviruses. \nHosted by: Professor Rebecca Dubois\, BME Department
URL:https://events.ucsc.edu/event/bme-280b-seminar-small-changes-big-consequences-modulators-of-alphavirus-assembly/
LOCATION:Biomedical Sciences Building\, 575 McLaughlin Drive
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260403T132000
DTEND;TZID=America/Los_Angeles:20260403T142500
DTSTAMP:20260427T101612
CREATED:20260401T005024Z
LAST-MODIFIED:20260401T005118Z
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SUMMARY:BME 80G Seminar: To Infinity and Beyond? Ethical\, legal\, and social issues of human research in space”
DESCRIPTION:Presenter: Vaso Rahimzadeh\, Assistant Professor\, Baylor College of Medicine \nDescription: As humans venture farther into outer space\, new scientific discovery awaits including in genomics; but so do new ethical dilemmas.  Who bears the risks (and rewards) of space exploration and how should humanity ethically expand beyond our planet? This session will have students think critically about the ethical\, legal\, and social issues of human genomic research in space and offer frameworks for analyzing them. Students will learn about the contemporary challenges and opportunities of genomic research for the upcoming lunar missions\, and in anticipation of future Mars exploration. \nBio: I am Assistant Professor at the Center for Medical Ethics and Health Policy at Baylor College of Medicine. In my National Institutes of Health-funded research\, I investigate the ethical\, legal\, and social issues of health data sharing on earth and in space. I aim to inform policy and practice in ways that maximize the scientific value of data while respecting the rights and interests of individuals and communities. I director the METEORS program (Mission to Enhance eThics Education\, Outreach\, and Research in Space) and serve on the Bioethics Advisory Panel for the National Aeronautics and Space Administration (NASA). I am a proud UC alum\, earning my BS in Microbial Biology from UC Berkeley in 2012\, and hold a PhD from McGill University with a specialization in biomedical ethics. You can read more about my background and read my work here. \nHosted by: Professor Karen Miga\, BME Department
URL:https://events.ucsc.edu/event/bme-80g-seminar-to-infinity-and-beyond-ethical-legal-and-social-issues-of-human-research-in-space/
LOCATION:Jack Baskin Auditorium\, 191 Baskin Cir\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260406T160000
DTEND;TZID=America/Los_Angeles:20260406T170000
DTSTAMP:20260427T101612
CREATED:20260204T222651Z
LAST-MODIFIED:20260325T181208Z
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SUMMARY:AM Seminar: The Thinking Eye: AI That Sees\, Reads\, and Reasons in Medicine
DESCRIPTION:Presenter: Yuyin Zhou\, Assistant Professor\, UCSC \nDescription: Medical AI is undergoing a profound transformation\, evolving from simple pattern recognition to systems capable of complex clinical reasoning. This talk will chart this evolution across three dimensions: data\, models\, and evaluation. I will first highlight the shift from limited\, unimodal datasets to massive multimodal resources. In particular\, I will introduce MedTrinity-25M—a novel collection of over 25 million richly annotated medical images that serves as a foundation for multimodal tasks such as visual question answering and report generation. Building on this\, I will describe how grounding decision processes in a structured medical knowledge graph enables the generation of high-fidelity reasoning chains. Using these chains\, we construct a large-scale medical reasoning dataset\, which in turn allows us to develop a new class of reasoning models. These models not only achieve state-of-the-art performance on multiple clinical Q&A benchmarks but also produce reasoning outputs that physicians across seven specialties have independently verified as clinically reliable\, interpretable\, and more factually accurate than existing large language models. Finally\, the talk will offer a deep dive into the critical evaluation of these advanced models\, moving beyond standard benchmarks to expose their current limitations—particularly in interpreting dynamic clinical scenarios such as tracking disease progression from temporal image sequences. To foster a holistic understanding of the mechanisms underlying these reasoning models\, I will introduce a new evaluation framework that examines performance from two complementary perspectives: their grasp of static knowledge versus their capacity for dynamic reasoning. Together\, these advances point toward a future where AI systems can holistically analyze patient information and function as true collaborative partners in complex medical decision-making. \nBio: Yuyin Zhou is an Assistant Professor of Computer Science and Engineering at UC Santa Cruz. Her research interests lie at the intersection of machine learning and computer vision\, with a primary focus on AI for healthcare and scientific discovery. Her work (70+ peered-reviewed publications with18\,000+ citations) has been recognized with honors including 2025 Google Research Scholar Award\, Best Paper Award at KDD 2025 Health Day and at Computerized Medical Imaging and Graphics 2024\, 2023 Hellman Fellowship\, Best Paper Honorable Mention at DART 2022\, and finalist recognition for the MICCAI Young Scientist Publication Impact Award in 2022. Beyond her research\, Yuyin has organized over 20 workshops and tutorials at major conferences including ICML\, MICCAI\, ML4H\, ICCV\, CVPR\, and ECCV\, with coverage in media outlets such as ICCV Daily and Computer Vision News. She serves as a regular Area Chair for CVPR\, ICLR\, MICCAI\, CHIL\, and ISBI\, an associate editor for SPIE medical imaging\, Image and Vision Computing\, and was the Doctoral Consortium Chair for WACV 2025. \nHosted by: Applied Mathematics Department
URL:https://events.ucsc.edu/event/am-seminar-the-thinking-eye-ai-that-sees-reads-and-reasons-in-medicine/
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260406T160000
DTEND;TZID=America/Los_Angeles:20260406T170000
DTSTAMP:20260427T101612
CREATED:20260318T171956Z
LAST-MODIFIED:20260318T171956Z
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SUMMARY:Statistics Seminar: Some Recent Results on Transfer Learning
DESCRIPTION:Presenter: Oscar Hernan Madrid Padilla\, Assistant Professor\, University of California\, Los Angeles \nDescription: In the first part of the talk\, I will introduce TRansfer leArning via guideD horseshoE prioR (TRADER)\, a novel approach enabling multi-source transfer through pre-trained models in high-dimensional linear regression. TRADER shrinks target parameters towards a weighted average of source estimates\, accommodating sources with different scales. Theoretical investigation shows that TRADER achieves faster posterior contraction rates than standard continuous shrinkage priors when sources align well with the target while preventing negative transfer from heterogeneous sources. Extensive numerical studies and a real-data application demonstrate that TRADER improves estimation and inference accuracy over state-of-the-art transfer learning methods. In the second part of the talk\, I will discuss some ongoing work involving transfer learning in nonparametric regression with ReLU networks \nBio: Oscar Madrid Padilla is a tenure-track Assistant Professor in the Department of Statistics at the University of California\, Los Angeles. Previously\, from July 2017 to June 2019\, he was a Neyman Visiting Assistant Professor in the Department of Statistics at the University of California\, Berkeley. Before that\, he earned his Ph.D. in Statistics from The University of Texas at Austin in May 2017 under the supervision of Professor James Scott. He completed his undergraduate degree\, a B.S. in Mathematics\, at CIMAT in Mexico in April 2013. \nHosted by: Statistics Department 
URL:https://events.ucsc.edu/event/statistics-seminar-some-recent-results-on-transfer-learning/
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260408T132500
DTEND;TZID=America/Los_Angeles:20260408T143000
DTSTAMP:20260427T101612
CREATED:20260424T192953Z
LAST-MODIFIED:20260424T192953Z
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SUMMARY:Rethinking Stemflow: Distribution\, Infiltration\, and Isotopic Insights in Forests
DESCRIPTION:Juan Andres Pinos from the University of Nevada\, Las Vegas\nIn Person Location: ISB 221 \nZoom Link \nStemflow represents a spatially concentrated and chemically enriched flux of intercepted precipitation that delivers water and solutes to near‐stem soils. Conventional approaches neglect potential heterogeneity in stemflow redistribution aboveground and its subsurface infiltration pathways\, introducing bias into forest water balance modeling. Furthermore\, stemflow is almost always overlooked in isotope-based hydrological models\, and consequently\, its isotopic signature remains poorly characterized. Accounting for the stemflow isotopic signal may reduce uncertainty estimates of near-stem water sources and flow pathways. To address these gaps\, we combined field experimentation with stable water isotope tracing to investigate (i) the circumferential distribution of stemflow along tree trunks\, (ii) its preferential infiltration pathways\, and (iii) isotopic modification during canopy interception and redistribution. Our results demonstrate that stemflow is non-uniformly distributed around the trunk\, with patterns influenced by tree lean and canopy structure. Upon reaching the soil\, stemflow preferentially infiltrates along coarse roots and macropores\, extending both vertically and laterally within the soil matrix. Additionally\, stemflow exhibits isotopic enrichment relative to open rainfall\, reflecting canopy retention and evaporative fractionation during interception. These findings challenge assumptions of uniform stemflow distribution\, refine mechanistic models of stemflow infiltration\, and highlight isotopic modification. Together\, they advance understanding of forest–water interactions and their implications for landscape hydrology.
URL:https://events.ucsc.edu/event/rethinking-stemflow-distribution-infiltration-and-isotopic-insights-in-forests/
CATEGORIES:Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260410T132000
DTEND;TZID=America/Los_Angeles:20260410T142500
DTSTAMP:20260427T101612
CREATED:20260407T233816Z
LAST-MODIFIED:20260410T190015Z
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SUMMARY:BME 80G Seminar: Sara Ackerman - Doing Ethics From The Inside: Collaboration\, Critique\, and Contradiction in Team Science
DESCRIPTION:Presenter: Sara Ackerman\, Medical Anthropologist and Professor of Social and Behavioral Sciences\, University of California\, San Francisco \nDescription: Team science has been widely promoted as a collaborative\, cross-disciplinary approach to addressing key scientific questions\, yet power differences and epistemic hierarchies persist. This talk explores "embedded ethics"—a model in which social scientists and ethicists work directly with scientific research teams. Drawing on findings from an empirical ethics project embedded in a multi-year clinical genomics study\, I demonstrate how qualitative methods and participatory design can shift the researcher-participant dynamic toward greater reciprocity and attention to enrolled families’ experiences. At the same time\, ethicists and social scientists can find themselves in an uncomfortable and even paradoxical position\, expected to facilitate project goals—such as recruitment of historically underrepresented groups—while simultaneously critically assessing the very categories of difference and measures being used. In the future\, team science collaborations can result in more just and broadly beneficial science if social science\, humanities and community partners are able to meaningfully contribute to the research agenda itself. \nBio: Sara Ackerman\, PhD\, MPH\, is a medical anthropologist and Professor of Social and Behavioral Sciences at the University of California\, San Francisco. Her research draws on ethnographic methods and public engagement to examine how genomics\, artificial intelligence and other emerging medical technologies affect the lives of patients and caregivers and shape conceptions of health\, illness and the public good. Sara teaches courses on community-engaged research\, qualitative methods\, and research ethics at UCSF. As Director of the Bioethics and Regulatory Support Program for UCSF’s Clinical and Translational Science Institute\, she is working to increase patient and public participation in decisions about the use of AI in clinical care and the sharing of patients’ clinical data for research. \nHosted by: Professor Karen Miga\, BME Department
URL:https://events.ucsc.edu/event/bme-80g-seminar-sara-ackerman-doing-ethics-from-the-inside-collaboration-critique-and-contradiction-in-team-science/
LOCATION:Jack Baskin Auditorium\, 191 Baskin Cir\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260413T080000
DTEND;TZID=America/Los_Angeles:20260515T170000
DTSTAMP:20260427T101612
CREATED:20260214T011406Z
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SUMMARY:2026 Right Livelihood International Conference
DESCRIPTION:The Right Livelihood International Conference is a five-week global conference exploring how education can strengthen democracy\, collective intelligence\, and just futures. Bringing together Right Livelihood Laureates\, students\, faculty\, and community partners across continents\, the conference combines asynchronous learning with participatory dialogue and collaborative action. Rather than advocating specific outcomes\, the conference positions education as a democratic practice and the Right Livelihood College as a steward of dialogue\, student voice\, and long-term institutional learning. \nRegistration is free and open to the public. Sign up to receive conference updates\, session links\, and participation opportunities.
URL:https://events.ucsc.edu/event/2026-right-livelihood-international-conference/
CATEGORIES:Film Screening,Lectures & Presentations,Meetings & Conferences,Ph.D. Presentations,Seminars,Social Gathering,Training,Undergraduate,Workshop
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LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260413T104000
DTEND;TZID=America/Los_Angeles:20260413T114500
DTSTAMP:20260427T101612
CREATED:20260409T225747Z
LAST-MODIFIED:20260409T225806Z
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SUMMARY:ECE 290 Seminar: Speaker Dr. Josh Star-Lack - Photon Counting Detectors for X-Ray Computed Tomography
DESCRIPTION:Presenter: Dr. Josh Star-Lack\, Principal Scientist and Research Manager\, Varex Imaging Inc \nDescription: X-ray computed tomography (CT) provides rapid\, detailed 3D imaging of internal organs\, bones\, and vasculature. By enabling the swift diagnosis of cancer\, cardiac disease\, neurological disorders\, and other pathologies\, CT has revolutionized medicine—reducing the need for invasive exploratory surgeries and facilitating precise treatment planning. Despite the technology’s maturity\, the clinical demand for higher spatial resolution\, increased sensitivity\, and lower ionizing radiation doses remains high. This presentation reviews the fundamental principles of CT\, traces its evolution since its invention 50 years ago\, and describes a new technology\, photon-counting x-ray detection\, as a transformative solution to current clinical challenges. \nBio: Josh Star-Lack received his B.S. in Applied and Engineering Physics from Cornell University and Ph.D. in Electrical Engineering from U.C. Berkeley. He has worked on the development of medical imaging technologies\, including X-ray computed tomography and magnetic resonance imaging\, for his entire professional career. He is currently a Principal Scientist and Research Manager at Varex Imaging Inc\, the world’s largest manufacturer of X-ray detectors and tubes. He has co-authored over 150 publications and holds over 50 patents. \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-dr-josh-star-lack/
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:20260413T132000
DTEND;TZID=America/Los_Angeles:20260413T142500
DTSTAMP:20260427T101612
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LAST-MODIFIED:20260409T223335Z
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SUMMARY:BME 80G Seminar: Speaker Dr. Mohammed Mostajo-Radji - How Close Are We to Consciousness in a Dish?
DESCRIPTION:Presenter: Dr. Mohammed Mostajo-Radji\, Associate Research Scientist\, Genomics Institute UCSC \nDescription: We can now grow small pieces of human brain tissue in the lab\, known as brain organoids. These models show many features of early brain development\, including different types of neurons and coordinated electrical activity. This progress raises a fascinating question: how close are we to consciousness in a dish? In this talk\, I will explain what brain organoids are\, what we mean by consciousness\, and why answering this question is more complex than it may seem. I will end by introducing the idea of neurorights\, and why thinking about the rights and protections of minds matters as brain science and technology continue to advance. \nBio: Dr. Mohammed Mostajo-Radji is an Associate Research Scientist at the Genomics Institute UCSC. He is part of the Braingeneers group\, a multidisciplinary collective of geneticists\, neuroscientists\, and engineers focused on the human brain’s specification and function. His research explores neuronal specification and fate plasticity in the cerebral cortex using brain organoid models. Additionally\, he leads the Live Cell Biotechnology Discovery Lab\, which develops cloud-based experimental science education technologies. Dr. Mostajo-Radji earned his PhD in Molecular and Cellular Biology from Harvard University and completed postdoctoral training at UCSF. He also co-leads the Data Coordination Center for the SSPsyGene Consortium\, an NIH initiative to characterize genetic mutations associated with neuropsychiatric disorders.  \nHosted by: Professor Karen Miga\, BME Department
URL:https://events.ucsc.edu/event/bme-80g-seminar-speaker-dr-mohammed-mostajo-radji-how-close-are-we-to-consciousness-in-a-dish/
LOCATION:Jack Baskin Auditorium\, 191 Baskin Cir\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260413T132500
DTEND;TZID=America/Los_Angeles:20260413T143000
DTSTAMP:20260427T101612
CREATED:20260424T192942Z
LAST-MODIFIED:20260424T192942Z
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SUMMARY:Ants Play Rock\, Paper Scissors: Implications for Pest Control in Coffee Farms
DESCRIPTION:Ivette Perfecto from the University of Michigan\nIn Person Location: ISB 221 \nZoom Link \nThe question of how species coexist in ecological communities has fascinated ecologists since the time of Darwin. Historically\, it has been assumed that ecological communities dominated by competitive interactions exhibit transitive competition. This means there is a hierarchy of competitive strength ranging from the most dominant to the most submissive species. However\, if this assumption is taken to its extreme\, it logically leads to the conclusion that the community would collapse\, resulting in the dominance of a single species. Yet\, this is not what we observe in nature. In this talk\, I address this question by proposing that intransitive competition—similar to the dynamics of the rock-paper-scissors game—plays a crucial role in promoting coexistence among highly competitive ant communities. I will first present evidence for an intransitive loop involving three dominant species found in coffee farms in Puerto Rico. Afterward\, I will analyze two models that could enhance species richness. Finally\, we will discuss the implications of this intransitivity for pest control.
URL:https://events.ucsc.edu/event/ants-play-rock-paper-scissors-implications-for-pest-control-in-coffee-farms/
CATEGORIES:Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260413T160000
DTEND;TZID=America/Los_Angeles:20260413T170000
DTSTAMP:20260427T101612
CREATED:20260312T223749Z
LAST-MODIFIED:20260312T223836Z
UID:10011318-1776096000-1776099600@events.ucsc.edu
SUMMARY:Statistics Seminar: Calibration Weighting-Style Diagnostics for Nonlinear Bayesian Hierarchical Models
DESCRIPTION:Presenter: Dr. Ryan Giordano\, UC Berkeley Statistics \nDescription: Multilevel Regression with Post-stratification (MrP) has become a workhorse method for estimating population quantities using non-probability surveys\, and is the primary alternative to traditional survey calibration weights\, e.g.~ as computed by raking. For simple linear regression models\, MrP methods admit “equivalent weights”\, allowing for direct comparisons between MrP and traditional calibration weights (Gelman 2006). In the present work\, we develop a more general framework for computing and interpreting “MrP local equivalent weights” (MrPlew)\, which admit direct comparison with calibration weights in terms of important diagnostic quantities such as covariate balance\, frequentist sampling variability\, and partial pooling. MrPlew is based on a local approximation\, which we show in theory and practice to be accurate and meaningful for the target diagnostics. Importantly\, MrPlew can be easily computed based on existing MCMC samples and conveniently wraps standard MrP software implementations. \nBio: Dr. Ryan Giordano is currently an assistant professor of statistics at UC Berkeley. Dr. Ryan Giordano earned a PhD in Statistics from UC Berkeley advised by Michael Jordan\, Tamara Broderick\, and Jon McAuliffe\, an MSc with distinction in econometrics and mathematical economics from the London School of Economics\, and undergraduate degrees in mathematics and engineering mechanics from the University of Illinois in Urbana-Champaign. Dr. Ryan Giordano has worked as a postdoctoral researcher at MIT under Tamara Broderick\, as an engineer for Google and HP\, and served for two years as an education volunteer in the US Peace Corps in Kazakhstan. Dr. Ryan Giordano’s research interests include machine learning\, variational inference\, Bayesian methods\, robustness quantification\, and what it even means to do statistics at all. \nHosted by: Statistics Department
URL:https://events.ucsc.edu/event/statistics-seminar-calibration-weighting-style-diagnostics-for-nonlinear-bayesian-hierarchical-models/
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2026/03/option-3.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260413T160000
DTEND;TZID=America/Los_Angeles:20260413T170000
DTSTAMP:20260427T101612
CREATED:20260406T170431Z
LAST-MODIFIED:20260406T170431Z
UID:10012045-1776096000-1776099600@events.ucsc.edu
SUMMARY:AM Seminar: Genetically Admixed Groups as a Laboratory for Mathematical Modeling and Discovery
DESCRIPTION:Presenter: Dr. Aw\, Department of Genetics\, University of Pennsylvania \nDescription: Admixed groups consist of individuals descended from two or more historically separated ancestral populations\, and they are underrepresented in biomedical studies. Admixed individuals are unique in that they carry mosaics of ancestral segments within their genome\, so their genetic information is typically summarized as a pair of genotype and local ancestry data matrices. I will present two research projects on admixed groups: one applying statistical models to study genetic architecture and polygenic risk\, and another using biomedical data analysis to motivate combinatorial and probabilistic questions. In the “math to genetics” direction\, we describe structural causal models that show local and global genetic ancestry are instruments for epistasis. These models of genetic architecture imply that certain polygenic scores can differentiate between cis and trans epistases\, and highly similar cross-ancestry genetic effects do not rule out pervasive gene-gene or gene-environment interactions. In the “genetics to math” direction\, we study the enumeration of genotype and local ancestry data matrices — which we call admixed arrays — subject to constraints that arise naturally in biomedical applications. Using saddle-point approximation and complex martingale techniques\, we show that admixed arrays admit a different independence heuristic than the closely related binary contingency tables (e^(–1/4) vs e^(–1/2) correction factor). If time permits\, we will discuss ongoing work on designing algorithms for performing exact and approximate enumeration. \nAbout the speaker: Alan Aw is a mathematical scientist specializing in human statistical and population genomics. He is currently a postdoctoral researcher with the Department of Genetics at the University of Pennsylvania\, having obtained a PhD in Statistics at UC Berkeley and studied Applied Mathematics as an undergraduate. His research centers on the genetics and mathematical modeling of underrepresented groups. This includes statistical modeling and analyses of Biobank-scale admixed cohorts to better understand the genetic architecture of biomedical traits and improve genetic risk prediction\, developing non-parametric hypothesis testing methods for genomics\, and interdisciplinary approaches to studying European demographic history inclusive of indigenous Siberians. He is a member of the PRIMED Consortium and a trainee under a National Institutes of Health T32 Grant in Genomic Medicine. \nHosted By: Applied Mathematics  \n 
URL:https://events.ucsc.edu/event/am-seminar-genetically-admixed-groups/
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:20260414T120000
DTEND;TZID=America/Los_Angeles:20260414T130000
DTSTAMP:20260427T101612
CREATED:20260407T191646Z
LAST-MODIFIED:20260407T191800Z
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SUMMARY:Nursing School Info Session with UPENN and Johns Hopkins
DESCRIPTION:University of Pennsylvania and Johns Hopkins Schools of Nursing each offer accelerated nursing programs for individuals looking to transition to the field from non-nursing degrees. \nWe will cover program overview\, admissions and career outcomes. \nHumanities 1 – Room 202 \nRegister now! \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/nursing-school-info-session-with-upenn-and-johns-hopkins/
LOCATION:Humanities 1 Building\, 257 Cowell-Stevenson Road\, Santa Cruz\, CA\, 95064\, United States
CATEGORIES:Lectures & Presentations,Meetings & Conferences,Seminars
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GEO:36.9979834;-122.0555164
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260414T160000
DTEND;TZID=America/Los_Angeles:20260414T170000
DTSTAMP:20260427T101612
CREATED:20260407T191115Z
LAST-MODIFIED:20260408T203231Z
UID:10012063-1776182400-1776186000@events.ucsc.edu
SUMMARY:Prepare for the Fair with COOP Careers
DESCRIPTION:Join us for an in-person workshop with COOP Careers about elevating your professional brand – just in time to prepare for the Spring Career & Internship Fair. \nThis session will help students craft a compelling professional pitch\, tailor their resume to stand out to employers\, and network meaningfully with industry professionals. Don’t miss this chance to get fair-ready and set yourself up for success! \nRegister now! \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/prepare-for-the-fair-with-coop-careers/
LOCATION:Career Success Student Lounge (125 Hahn)\, 1156 High Street\, Santa Cruz\, CA\, 95064\, United States
CATEGORIES:Meetings & Conferences,Seminars,Training,Undergraduate,Workshop
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GEO:36.9834948;-122.0564004
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Career Success Student Lounge (125 Hahn) 1156 High Street Santa Cruz CA 95064 United States;X-APPLE-RADIUS=500;X-TITLE=1156 High Street:geo:-122.0564004,36.9834948
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260415T103000
DTEND;TZID=America/Los_Angeles:20260415T120000
DTSTAMP:20260427T101612
CREATED:20260331T011648Z
LAST-MODIFIED:20260408T203606Z
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SUMMARY:FINS: Fisheries Insights Narratives and Stories seminar series featuring Dr. George Leonard
DESCRIPTION:Please join us for the second talk in the FINS: Fisheries Insights Narratives and Stories seminar series featuring Adjunct Professor Dr. George Leonard. His talk\, “Lessons learned from my time at the science-policy interface” will discuss his 35 years of experience researching\, communicating\, and advocating for a vibrant and healthy ocean upon which all of us depend. He has been at the forefront of ocean science-policy interface at major nonprofits (Monterey Bay Aquarium and Ocean Conservancy)\, working on practical ocean solutions to some of the ocean’s greatest environmental challenges. He initiated\, developed\, and led a host of conservation programs during his time at Ocean Conservancy including offshore aquaculture\, plastics pollution\, ocean acidification\, climate change\, mesopelagic fisheries\, and deep-sea mining. During his early career at Monterey Bay Aquarium\, he developed the scientific foundation for the nascent sustainable seafood movement \nFINS: Fisheries Insights Narratives and Stories Seminar Series \nDr. George Leonard\, Adjunct Professor\, Coastal Science and Policy UCSC \nTitle: Lessons learned from my time at the science-policy interface \nWhen: Wednesday\, April 15th from 10:30am-12pm \nWhere: Ocean Health Building Rm 118\, 115 McAllister Way\, Santa Cruz\, CA 95060 and on Zoom \nAgenda: \n\n10:30 am – 11:00 am – Professional Networking Session (in person only – light snacks and refreshments provided)\n11 am to 12 pm – presentation followed by Q & A\n12 pm – 1pm – student lunch with the speaker in OHB courtyard → sign up here\n\nZoom Meeting Registration: https://ucsc.zoom.us/meeting/register/NwH0_qUbSeuIm3A76DY-Dg \n 
URL:https://events.ucsc.edu/event/fins-fisheries-insights-narratives-and-stories-seminar-series-featuring-dr-george-leonard/
LOCATION:Ocean Health Building\, McAllister Way\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars,Social Gathering
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GEO:36.9515521;-122.0654586
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260415T110000
DTEND;TZID=America/Los_Angeles:20260415T121500
DTSTAMP:20260427T101612
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260420T100000
DTEND;TZID=America/Los_Angeles:20260420T110000
DTSTAMP:20260427T101612
CREATED:20260424T192938Z
LAST-MODIFIED:20260424T192938Z
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SUMMARY:Building Soil with Microbes: Compost as Biological Infrastructure
DESCRIPTION:Keisha Ernst from the Catalyst Bio-Amendments and Compost Academy\nIn Person Location: ISB 221 \nZoom Link \nIn this talk\, Keisha will explore how biologically focused compost production differs from conventional composting systems designed primarily for waste diversion. She will discuss how microbial communities influence soil structure\, nutrient cycling\, plant resilience\, and water dynamics—and how managing compost as a living biological input can shift the way we approach soil fertility. The presentation will also highlight findings from a two-year field trial evaluating microbial applications in landscape and turf systems\, including results showing measurable reductions in irrigation needs alongside improvements in soil performance. Designed for growers\, land managers\, researchers\, and soil enthusiasts alike\, this talk offers a practical look at how working with soil microbiology can reshape the future of agriculture and land stewardship. Keisha will also give a live demonstration showing different known types of microbiology!
URL:https://events.ucsc.edu/event/building-soil-with-microbes-compost-as-biological-infrastructure/
CATEGORIES:Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260420T132500
DTEND;TZID=America/Los_Angeles:20260420T143000
DTSTAMP:20260427T101612
CREATED:20260424T192933Z
LAST-MODIFIED:20260424T192933Z
UID:10013956-1776691500-1776695400@events.ucsc.edu
SUMMARY: Waste and Cataclysm\, Waste as Catalyst: The Politics of Disposability in New Orleans
DESCRIPTION:Christopher Lang from the UCSC Environmental Studies Department\nIn Person Location: ISB 221 \nZoom Link \nLang explores the politics of disposability in New Orleans\, Louisiana\, revealing how pollution intersects with Black community health\, waste workers’ lives and livelihoods\, and the city’s overall resilience in the face of increasing flood risk. Using a combination of methods – from semi-structured interviews to formalized employment in city government to catch basin content analyses\, and more – Lang demonstrates that waste and its management in New Orleans is far from neutral\, neither in impact nor procedure; rather\, pollution that continually overwhelms the city stems from long-running political choices that reinscribe cultural norms and infrastructures around disposability\, which underpins the local and regional economy. Lang examines these consequences of mismanaged and excessive waste at different scales within the city\, noting several tensions that exist and impede structural improvements in sustainability and equity pertaining to solid waste: tensions between community and industry\, “cleanliness” and job security\, economy and the environment\, and tradition and adaptation. In a city that simultaneously experiences gentrification\, austerity\, and population loss (for myriad reasons: quality of life issues\, homeowner insurance costs\, climate change forecasting etc.)\, Lang unpacks the stakes of sustainability\, or lack thereof\, highlighting the power dynamics laden in New Orleans’ throwaway economy as well as those in efforts to “green” a whitening city.
URL:https://events.ucsc.edu/event/waste-and-cataclysm-waste-as-catalyst-the-politics-of-disposability-in-new-orleans/
CATEGORIES:Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260420T160000
DTEND;TZID=America/Los_Angeles:20260420T170000
DTSTAMP:20260427T101612
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
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2026/03/BElogoWHITE.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260420T160000
DTEND;TZID=America/Los_Angeles:20260420T170000
DTSTAMP:20260427T101613
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260422T110000
DTEND;TZID=America/Los_Angeles:20260422T121500
DTSTAMP:20260427T101613
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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DTSTART;TZID=America/Los_Angeles:20260423T114000
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DTSTAMP:20260427T101613
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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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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260424T132000
DTEND;TZID=America/Los_Angeles:20260424T142500
DTSTAMP:20260427T101613
CREATED:20260422T224826Z
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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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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260427T104000
DTEND;TZID=America/Los_Angeles:20260427T114500
DTSTAMP:20260427T101613
CREATED: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:20260427T123000
DTEND;TZID=America/Los_Angeles:20260427T133000
DTSTAMP:20260427T101613
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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DTSTART;TZID=America/Los_Angeles:20260427T132500
DTEND;TZID=America/Los_Angeles:20260427T143000
DTSTAMP:20260427T101613
CREATED:20260424T192903Z
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SUMMARY:Socio-Ecological Complexity in Coffee Agroecosystems
DESCRIPTION:Sanya Cowal from the UCSC Environmental Studies Department\nIn Person Location: ISB 221 \nZoom Link \nOne of the most pressing global challenges considers how to combine sustainable agricultural land use with biodiversity conservation. Agricultural systems have been dramatically transformed and intensified\, leading to the simplification of agricultural landscapes through increased agrochemical use\, landscape homogeneity\, decreased crop diversity\, and mechanization. All of these activities restructure the physical and social environment in which food systems are embedded. Market motivations overlook ecological costs\, including the loss of habitat complexity\, functional biodiversity\, and related ecosystem services\, such as biological pest control\, as well as socio-cultural costs\, such as the erasure of traditional agroecosystems. The coffee agroecosystem is one system in which management intensification negatively impacts functional biodiversity and ecosystem services. In this talk\, I explore how socio-ecological complexity informs coffee farm management\, habitat complexity\, and subsequent outcomes for biodiversity\, ecosystem services\, and equitable supply chain governance.
URL:https://events.ucsc.edu/event/socio-ecological-complexity-in-coffee-agroecosystems/
CATEGORIES:Seminars
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