• 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 […]

  • VMCC Series: Yiman Wang

    Porter College D-Building, Santa Cruz, CA

    Yiman Wang lecture

    FREE and open to the public
  • Kraw Lecture: Learning Earth’s Biodiversity via Space and eDNA

    3175 Bowers Avenue Santa Clara, CA 95054 3175 Bowers Avenue, Santa Clara, CA, United States

    The California DNA Program (CALeDNA), launched from the University of California in 2017, has been tackling the massive disconnection in scales of measuring nature from satellite-based sensing down to DNA […]

  • Regulatory Affairs Info Session

    Silicon Valley Campus 3175 Bowers Avenue, Santa Clara, CA, United States

    Lead regulatory strategy in the evolving medical device industry. As global regulations become increasingly complex, professionals who can navigate FDA, EU, and international requirements are in high demand. Learn how […]

  • Pre-College Program Info Session

    Silicon Valley Campus 3175 Bowers Avenue, Santa Clara, CA, United States

    Learn more about our Pre-College Programs Discover what’s possible in Summer 2026! Join us for a one-hour info session to learn about our Pre-College programs, including courses, eligibility, and how […]

  • Carl Deppe Memorial Lecture with Dr. Kara Cooney

    Hay Barn 94 Ranch View Road, Santa Cruz, CA, United States

    The UCSC Ancient Studies Program presents the Carl Deppe Memorial Lecture, taking place February 5th at the Cowell Ranch Hay Barn (reception to follow). Kara Cooney will present her lecture […]

    Free
  • Science in the Neighborhood: Innovations for building coastal resilience locally, nationally, and globally

    Science in the Neighborhood
    Seymour Marine Discovery Center 100 McAllister Way, Santa Cruz, CA

    Coastal risks are growing from climate change, development, and habitat loss. The Center for Coastal Climate Resilience assesses coastal risks, promotes nature-based adaptations, and identifies innovative solutions to reduce risks to people, property, and the environment. Dr. Beck will describe recent successes in bridging ecology, engineering, and economics to develop solutions at the intersection of science, policy, and finance. This is part of the Science in the Neighborhood lecture series.

    Free
  • 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!

  • CM Seminar – “The ‘Social’ Side of Social Virtual Reality”

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

    Presented by: Bree McEwan Description: 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, […]

  • AM Seminar: Data Driven Modeling for Scientific Discovery and Digital Twins

    Presenter: Dongbin Xiu, Professor, Ohio State University Description: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 […]