• BME 280B Seminar: Satellite repeats encode megabase-scale transcription factor hubs

    Physical Sciences Building Physical Sciences Building, Santa Cruz, CA

    Presenter: Matt Franklin, Postdoctoral Researcher, Stanford University Description: Eukaryotic genomes contain large stretches of repetitive DNA called satellite DNA, often found near centromeres and ribosomal DNA regions. In humans, alpha satellite has well-established roles in centromere biology, however the functions of other human satellite DNAs remain largely unexplored. We recently identified the Hippo pathway effector […]

  • Allen van Gelder Memorial

    University Center University Center, Santa Cruz, CA

    You are cordially invited to an event celebrating the life and research legacy of Allen van Gelder, who passed away in April 2025 after 37 years of dedicated service to the Computer Science and Engineering Department at UC Santa Cruz. Thursday, January 29, 2025 Reception begins 1pm, Program begins 1:30pm Alumni Room, University Center, UC […]

  • ECE Seminar: Advanced Packaging as the Engine of the AI Systems Era

    Engineering 2 Engineering 2 1156 High Street, Santa Cruz, CA

    Presenter: Tolga Acikalin, System and Package Architect, Lumilens Description: 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 […]

  • Statistics Seminar: Mathematical Foundations for Machine Learning from a Nonlinear Time Series Perspective

    Hybrid Event

    Presenter: Jiaqi Li, William H. Kruskal Instructor, University of Chicago Description: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 […]

  • AM Seminar: Are Graph Learning Methods Actually Learning?

    Presenter: Seshadhri Comandur, Professor of Computer Science, UCSC Description: 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 […]

  • Statistics Seminar: Statistical Inference for Multi-Modality Data in the AI Era

    Hybrid Event

    Presenter: Qi Xu, Postdoctoral Researcher, Department of Statistics & Data Science, Carnegie Mellon University Description: 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 […]

  • GDAC Portfolio Workshop

    Cultural Center – Merrill College 641 Merrill Rd, Santa Cruz, United States

    Part of the GDA Conference on campus – come and learn best practices for creating a portfolio to use in the gaming industry!

  • Virtual Resume Review

    Virtual Event

    Meet with actual recruiters for this virtual resume review! You’ll get a chance to show them your resume and get feedback from professionals.

    Get career ready with Career Success!

  • AM Seminar: Multiscale Modeling of Cellular Membranes and Oncogenic Proteins

    Presenter: Liam Stanton, Professor, San Jose State University Description: 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 […]

  • Statistics Seminar: Rotated Mean-Field Variational Inference and Iterative Gaussianization

    Presenter: Sifan Liu, Assistant Professor, Department of Statistical Science, Duke University Description: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 […]

  • Arts Division – Application and Interview Skills That Will Get You A Great Job!

    Virtual Event

    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.

  • February 25, 2026 | Works-in-Progress with Geoffrey Bowker

    On Wednesday, February 25, 2026 at 3:00PM in Humanities 1, Room 210, join SJRC scholars on the death of infrastructure, AI, and underwater network cables and his collaborative comic book on Actor Network Theory.

  • Exploring Research Pathways at Baskin Engineering

    Curious how being part of a research lab can supercharge your experience as a Baskin Engineer?   Join us for this informative event to learn about opportunities to solve open-ended problems, […]