Presenter: Yuyin Zhou, Assistant Professor, UCSC Description: 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, […]
Presenter: Dr. Aw, Department of Genetics, University of Pennsylvania Description: Admixed groups consist of individuals descended from two or more historically separated ancestral populations, and they are underrepresented in biomedical […]
Artificial intelligence is transforming how we understand and solve the world’s most complex challenges—while at the same time causing new challenges and concerns. We invite you to join us for a special UC Santa Cruz Kraw Lecture showcasing the faculty whose groundbreaking research in artificial intelligence is transforming science, technology, and society. From advances in […]
Presenter: Dr. Xun Tang, Stanford University Description: 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 […]
Come get excited about Baskin Engineering Climate Week at our student pop-up! 🌎 Climate Week is a chance to explore how Baskin Engineering is addressing climate challenges through innovative research, […]
Join us for a Climate Tech & Sustainability Showcase, where students, faculty, climate and sustainability-focused companies, founders, and community organizations come together to share their work and ideas. The event is part of Baskin Engineering Climate Week, focused on raising awareness of climate issues and sustainability research and teaching. Explore a range of interactive demos, […]
Ready to explore career pathways that matter? Attend our very special Careers in Climate Tech & Sustainability Panel—celebrating Baskin Engineering Climate Week—for an inside look at careers that will help build a sustainable future. Panelists representing different roles and organizations will share their career journeys and offer practical insights into working in climate tech. There […]
Join Baskin Engineering to explore the frontier of power engineering, where the rapid rise of electrification and digital infrastructure is creating an unprecedented demand for next-generation talent and a critical […]
This is a programming contest, but with a twist! Instead of scoring you based on your speed and solution accuracy, we score you based on your programming quality and solution accuracy. This means that instead of looking at how fast you can program a solution, we look at your number of compiles/runs instead.* The contestant that […]
Presenter: Marcos Calegari Andrade, Assistant Professor, Chemistry and Biochemistry, UC Santa Cruz Description: In this talk, I will demonstrate how neural networks can represent the high-dimensional potential energy surfaces of […]
Presenter: Dr. Pulkit Dubey, Postdoc, UC Santa Cruz Description: Neural climate emulators such as NeuralGCM and LUCIE offer efficient, differentiable alternatives to General Circulation Models (GCMs), producing climate predictions at a fraction of the cost. While work to date has focused largely on predictive accuracy, we leverage differentiability to study control of long-horizon climatological targets. […]
Presenter: Anil Damle, Associate Professor, Cornell University Description: The column subset selection problem is a classical topic in numerical linear algebra, with renewed interest driven by applications in computational quantum chemistry, integral equations, model reduction, and model compression in machine learning. This talk surveys recent advances that clarify how structural properties of a matrix influence […]
The STEM Culture Festival is returning to UC Santa Cruz on Friday, May 15 from 1-4pm in the Baskin Engineering Courtyard. Join us! This year, we’re expanding with even more […]
Welcome to the premier physical AI hackathon on the West Coast. We are bringing together the top 200 AI, infrastructure, and hardware engineers to build autonomous, agentic applications on the NVIDIA NemoClaw stack. You aren’t just calling APIs, you are building on enterprise-grade hardware. The Tracks: The Edge Track: 40 exclusive teams will be granted […]
Presenter: Dr. David A. Knowles, New York Genome Center & Columbia University Description: Many human diseases have a substantial genetic component, which association studies are increasingly capable of characterizing, empowered by ever-growing sample sizes. These associations have the potential to elucidate complex disease biology and prioritize therapeutic interventions. However, it is challenging to determine the […]
The annual BE Student Project Showcase celebrates the innovative work and accomplishments of undergraduate engineers in capstone courses and research pathways.
Presenter: Denis Titov, Assistant Professor, University of California, Berkeley Description: Cells run thousands of chemical reactions simultaneously, and these reactions must be precisely controlled—like a thermostat that prevents overheating. When this control fails, diseases including diabetes, cardiovascular disease, and fatty liver disease result. One key control mechanism is allosteric regulation, where a small molecule binds […]
This thesis explores iterative methods for solving elliptic partial differential equations (PDEs), which are used in computational fluid dynamics (CFD) to model a wide range of physical phenomena. The primary application of interest here is self-gravity, modeled by Poisson’s equation. Although many numerical approaches exist, including direct matrix inversion, FFT-based methods, and classical iterative methods […]
Deep learning models trained on simulation and reanalysis data can now emulate turbulent geophysical flows at a small fraction of the computational cost of numerical solvers. Their scientific utility depends on physical consistency, which for the systems studied here rests in large part on spectral fidelity, the accurate reconstruction of variance across spatial scales. This […]
Advances in microscopy have enabled the collection of high-quality single-cell datasets, providing new opportunities to identify the mechanisms underlying complex biological processes. In this work, we develop machine-learning frameworks using single-cell temporal data with the goal of predicting and providing insights into these mechanisms. We produce frameworks for two biological systems, bacterial spore germination, the […]