Welcome to the 3rd week of our BME 280B seminar series, a weekly seminar covering topics of current research in computational biology and bioinformatics. Open to all, food is provided. Class enrollment is not required. Please join us this week to learn more about the works of Dr. Kiley Graim: Presenter: Dr. Kiley Graim, […]
Presenter: Reza Ramezan, Associate Professor, Teaching Stream (Research Active), University of Waterloo Description: Neural spike trains are electrochemical signals that are localized in time and serve as the primary means […]
Presenter: Titus Winters, Adobe Abstract: Computing education has long emphasized intelligence, knowing how a thing works, over wisdom, knowing when to use it. We teach syntax, functional correctness, and the internals of classic data structures, while giving students little guidance on tradeoffs, quality, and judgment. Generative AI makes this old critique urgent: source code is […]
Presented by: Adam Wang, Assistant Professor of Radiology @ Stanford University Description: “Computed tomography (CT) is a mainstay of medical imaging, but its capabilities are constrained by radiation dose and the information captured by conventional x-ray detectors. Photon-counting CT (PCCT) measures individual x-ray photons and their energies, creating new opportunities for high-resolution, low-dose, and quantitative imaging. […]
Welcome to the second Computational Media seminar of the fall quarter. Open to all, class enrollment is not required. Food will be provided. Please join us in-person at E2-280 or via Zoom to learn more about the works of Professor Jim Whitehead: Title: Sides Taken: Generative Artists Made by Generative AI Presenter: Dr. Jim Whitehead, Professor of […]
Presenter: J. Xavier Prochaska, Professor, UC Santa Cruz Description: I will present two current and challenging research problems from the domains of astrophysics and oceanography which are leveraging standard Bayesian methods. After describing the datasets, scientific goals, and currently methodology, I will welcome a discussion on ways to improve, advance, and/or replace the current approaches. […]
Presenter: Dr. Kelli Gutierrez, CSU Monterey Bay Description: Many microswimmers propel themselves using flagella, which are thin, threadlike filaments that beat in a periodic wavelike motion. The flagellar beat emerges from the coupled interactions between the surrounding fluid and the active and passive responses of the flagellum. Previous studies have observed the qualitative shape of […]
Dr. Antonio Roman-Alcalá has been participating in food and farming movements in California for over two decades. He’s founded urban farms, taught organic horticulture, and made documentary films about why food systems continue to be unsustainable. More recently, he’s turned towards participatory, movement-based research to develop an understanding of what “emancipation” might mean for those […]
Title: Relational Attention for Data-Efficient Language Modeling Presenter: Adrian Brasoveanu, UCSC Linguistics (Joint work with Ece Takmaz and Jakub Dotlačil) Abstract: We present Relational BabyLM, a system submission to the BabyLM 2026 challenge that combines two cognitively motivated inductive biases in a single decoder-only Transformer. Architecturally, we replace standard self-attention with a Dual Attention Transformer (DAT), […]
Presented by: Quan Xiao, PhD Candidate @ Cornell University Description: “Agentic AI systems combine large language models with system-level design choices such as post-training data selection, retrieval, tool use, and memory management in augmented inference. Training these systems involves multiple coupled objectives beyond task success, including safety, retrieval quality, and adaptation efficiency. Sequential tuning can cause […]
Presenter: Enter the speaker’s name, title, and institution at the top of the event Description: Optimal transport (OT) provides a principled way to match, compare, and interpolate distributions, but its computational cost limits its use at realistic scales. I will present our recent work on reducing that cost and on using OT for statistical modeling […]
Presenter: Reza Fazel-Rezai, Senior Science and Education Application Engineer, MathWorks Description: Please join us to learn how to accelerate data analysis using a workflow that spans low-code tools, Generative AI, and Agentic AI. Through live demonstrations and practical examples, you’ll see how to import, explore, visualize, model, and process data using interactive tools that require […]
Presenter: Chrysoula Tsogka, Professor, Applied Mathematics, UC Merced Description: In a strongly scattering medium, waves undergo multiple scattering that is usually seen as an obstacle to imaging. Time-reversal experiments show the opposite: waves re-emitted into the medium refocus on their source more sharply than in a homogeneous medium, because scattering makes the array appear larger […]
UCSC’s Center for Southeast Asian Coastal Interactions (SEACoast) and the Center for South Asian Studies invite you to join us for a Slow Seminar to discuss Iftekhar Iqbal’s The Range of the River: Asia’s Great River Systems and the Making of a Transregional World on Monday, November 16, 2026 from 3:30-5:00pm PST in Room 210, […]
Presenter: Joshua Schraiber, Research Scientist, University of Southern California and Cornell University Description: The advent of biobank data has presented an unprecedented opportunity to understand the evolutionary history of the human species. By collecting genotype data from hundreds of thousands of individuals, we can look closely at recent evolutionary history, including recent demography, mutation rates, […]
Presenter: Anuj Kumar, Assistant Professor, UC Davis Description: Turbulent flows can transport heat and momentum much more efficiently than pure molecular diffusion alone. What flow structures enable this efficient transport and how can they sustain dissipation when diffusivity or viscosity is small? These questions are fundamental to understanding turbulence and have important applications in engineering. […]
Presenter: Edric Tam, Warren Alpert Fellow in AI and Computational Biology, Department of Biomedical Data Science, Stanford University Description: A longstanding question in Bayesian analysis concerns the role of randomization. We introduce randomization posteriors, a class of generalized Bayesian updates obtained by averaging over an auxiliary randomization law. A particularly relevant instance assigns random weights […]
Presenter: Rafael Cabral, Member of Technical Staff, Axiom Math Description: Latent Gaussian models (LGMs) are among the most widely used classes of statistical models, with applications ranging from biostatistics to spatial modeling. Their central assumption, that the latent variables are Gaussian, is nevertheless rarely checked. Many datasets contain sudden jumps or local spikes that a […]
Join the UCSC Chemical Screening Center on May 7, 2027 for our biennial symposium in PSB240. The event is free to all who register by April 15, 2027 (registration link will be available closer to the time, at csc.ucsc.edu). We are featuring a distinguished speaker, Dr. Ethan Perlstein, CEO of Perlara PBC, the first biotech […]