Statistics Department

The Statistics Department at the Baskin School of Engineering has a strong reputation in research and graduate education. Faculty expertise include Bayesian methods, dependent data modeling, machine learning and optimization, data science, and applied statistics. Statistics faculty include four fellows of the American Statistical Association (ASA) and two fellows of the International Society for Bayesian Analysis (ISBA)—several have held leadership roles in both organizations. Graduates of the Statistics Ph.D. program have earned awards for their research and gone on to careers in industry, government, and academia.

Events from this organizer

Today

  • 2025 Fall STEM Career & Internship Fair

    Stevenson Event Center Stevenson Service Road, Santa Cruz, CA

    Here is a chance to meet tech recruiters in person! If you are interested in pursuing a career in science, technology, engineering, mathematics or research, then take advantage of this opportunity to meet recruiters from companies looking to fill various positions (both technical and non-technical). Learn more about internships and full-time career opportunities. Undergraduate students, […]

  • CITRIS Aviation Prize

    CITRIS Aviation Prize Information Session

    Join us for this virtual info session on the 2025–26 CITRIS Aviation Prize, an exciting multi-campus student competition inviting teams to design innovative solutions for the future of air mobility across the University of California. The session will cover this year’s competition guidelines, key dates and requirements, and available resources. Attendees will also have the opportunity […]

  • ECE 290 Seminar: Performance Bounds and Bottlenecks for Neuromorphic ML Accelerators

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

    Presenter: Jason Yik, PhD Candidate, Harvard SEAS Description: Recent research on neuromorphic accelerators has investigated their efficiency and performance benefits for machine learning (ML) inference at the edge. This talk will focus on the performance implications of the fully-on-chip, manycore-distributed memory architecture used by current neuromorphic accelerators. In conventional architectures, the roofline model is a […]

  • Akira Horiguchi

    Statistics Seminar: Sampling Depth Trade-Off in Function Estimation Under a Two-Level Design

    Presenter: Akira Horiguchi, Visiting Assistant Professor, University of California, Davis Description: Many modern statistical applications involve a two-level sampling scheme that first samples subjects from a population and then samples observations on each subject. These schemes often are designed to learn both the population-level functional structures shared by the subjects and the functional characteristics specific […]

  • Statistics Seminar: Topological Clustering: from Multilayer Networks to Climate Resiliency and Beyond

    Presenter: Professor Yulia R. Gel, Virginia Tech Description: Multilayer networks continue to gain significant attention in many areas of study, particularly, due to their high utility in modeling interdependent systems such as critical infrastructures, human brain connectome, and socio-environmental ecosystems. However, clustering of multilayer networks, especially, using the information on higher order interactions of the […]