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: Luat Vuong, Associate Professor in Mechanical Engineering, UC Riverside Description: Given the growing computational demands of machine learning, how can we scale approaches for sifting through large volumes of data—including patterned or delayed information embedded as “noise”? Many computer vision applications have a strict power budget and demand robust, rapid-response, and even real-time image […]
Oceanographic data, generated by modern technologies that measure biological systems across time, space, and cell populations, are often rich, high-dimensional, and highly heterogeneous. Such data provide valuable opportunities to study subcellular organization, cellular heterogeneity, and dynamic biological processes in marine environments. However, because marine plankton systems remain relatively understudied and less well characterized than many […]
Ready to explore career pathways that matter? Attend our very special Careers in Climate Tech & Sustainability Panel for an inside look at careers that will help build a sustainable future. […]
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 […]
Flow cytometry is a valuable technique in microbial research used to measure the optical properties of single-celled organisms at high throughput. Oceanographers often deploy flow cytometers on research cruises in order to study the characteristics of phytosynthetic microbes—called phytoplankton—in regions and times with diverse environmental conditions. Because cytometers cannot distinguish between subpopulations, researchers typically cluster […]
Presenter Chenyu You, Stony Brook University Abstract In the rapidly growing area of machine learning, there is profound promise in crafting intelligent, data-driven methods for diverse real-world applications. Yet, in […]
Sequencing technologies have transformed population and evolutionary genetics, making it possible to ask questions at scales that were intractable a decade ago. Realizing that potential depends on tailored computational approaches, and on the tools and infrastructure those approaches are built on. My dissertation works across this spectrum. Using an in vitro Drosophila cell culture system, […]
Presenter: Ravi Kumar, Google Abstract: In discrete choice, a user selects one option from a finite set of available alternatives, a process that is crucial for recommendation systems applications in e-commerce, social media, search engines, etc. A popular way to model discrete choice is through Random Utility Models (RUMs). RUMs assume that users assign values to […]
Robotic space missions often use discrete event simulation to reduce risk in operation. A simulation applies a set of planned activities to a model of mission resources, and the model’s observed behavior is used to predict real-world outcomes. However, logically concurrent activities are typically simulated under one possible linearization of their events – an order […]
Are you curious about generative AI development tools and vibe coding? Join us for an excitng in-person boot camp where you will take part in a hands-on lab that will […]
Presenter: Dr. Josh Star-Lack, Principal Scientist and Research Manager, Varex Imaging Inc Description: X-ray computed tomography (CT) provides rapid, detailed 3D imaging of internal organs, bones, and vasculature. By enabling the swift diagnosis of cancer, cardiac disease, neurological disorders, and other pathologies, CT has revolutionized medicine—reducing the need for invasive exploratory surgeries and facilitating precise […]
Modeling environmental extremes often involves large collections of spatial or temporal records where both clustering similar series and modeling dependence among extremes are challenging tasks. This Ph.D. proposal addresses several related problems in extreme value analysis. In particular, we study how to cluster many time series based on their extremal behavior using strategies defined via […]
The UCSC Genome Browser is hosting a free workshop for new and advanced users! Beginner session starts at 9 and will include: How to understand genome annotations How to find annotation data Overview of training resources Intermediate + advanced session starts at 10, covering Custom tracks Track hubs BLAT And more!! Join us and be […]
Presenter: Christopher Fletcher, UC Berkeley Abstract: It is difficult to escape the hype of agentic coding. Is the hype real? Are we still living in ~Summer 2025 — when AI coding would accomplish little more than upset its human supervisor? Or has a level shift in technology finally arrived? In this talk I will argue the latter. I will […]
Advanced driver-assistance systems (ADAS) are commonly organized as modular pipelines that transform raw sensor measurements into low-level actuation commands through perception, planning, and control. While learning-based methods have achieved state-of-the-art performance in perception and environment modeling, the planning layer remains a key bottleneck for reliable autonomy. Highway driving in particular requires long-horizon reasoning and socially […]
Presenter: Nadia Polikarpova, UCSD Abstract: AI-assisted programming has rapidly moved from novelty to default. Today, most developers use AI coding tools, and increasingly rely on agentic systems capable of making multi-step design and implementation decisions with minimal human guidance. While these systems boost productivity, they also introduce new risks: developers may disengage from the reasoning behind […]
Presenter: Dr. Christine Greve, Research Engineer, Edwards AFB Description: Low-thrust space electric propulsion systems offer long propulsion system lifetimes for satellite maintenance maneuvers. These thrusters operate by generating and accelerating plasmas, making the thrusters throttleable, propellant-efficient, and scalable from low-to-high power operations. This talk will focus on efforts to leverage the underlying time-dependent dynamics of […]
Modern edge computing increasingly relies on heterogeneous System-on-Chip (SoC) architectures. These chips tightly integrate general-purpose CPUs with various specialized accelerators, including GPUs, FPGAs, and AI accelerators, all under a shared memory architecture. Although these shared-memory SoCs enable more efficient communication and data sharing between different processing units, they are notoriously difficult to program and tune […]
Presenter: Vasiliki “Vicky” Bikia, PhD, Stanford Department of Biomedical Data Science and Institute for Human-Centered AI (HAI) Abstract: Deploying foundation models in health requires both computational efficiency and reliable generation. In this talk, I present two studies that address these dimensions separately but with a shared goal of real-world clinical deployment. The first study focuses on […]