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3 events,
Presenter: Susnata Mondal, Research Scientist, Intel Description: Rapid growth in wireless connectivity, cloud computing, and AI infrastructure is driving an urgent need for communication systems that can deliver higher data rates with improved energy efficiency. Meeting these demands requires advances in high-frequency circuit design across both wireless and wireline domains, spanning millimeter-wave radios to optical […] 
Presenter: Liam Stanton, Professor, San Jose State University Description: In this talk, I will present a multiscale model for cellular membranes, which is trained on molecular dynamics simulations. The model is constructed within the formalism of dynamic density functional theory and can be extended to include features such as the presence of proteins and membrane […] 
Presenter: Sifan Liu, Assistant Professor, Department of Statistical Science, Duke University Description:Mean-field variational inference (MFVI) approximates a target distribution with a product distribution in the standard coordinate system, offering a scalable approach to Bayesian inference but often severely underestimating uncertainty due to neglected dependence. We show that MFVI can be greatly improved when performed along […] |
1 event,
Virtual Event
Virtual Event
Having a stand-out application and exceptional interview skills are essential for landing a great job! Join us for this fast-paced and interactive one-hour online workshop where we’ll explore how to submit an application that makes an employer WANT to interview you, as well as top-notch tips and techniques to prepare for and answer interview questions with intentionality, confidence, and skill. |
2 events,On Wednesday, February 25, 2026 at 3:00PM in Humanities 1, Room 210, join SJRC scholars on the death of infrastructure, AI, and underwater network cables and his collaborative comic book on Actor Network Theory.
Curious how being part of a research lab can supercharge your experience as a Baskin Engineer? Join us for this informative event to learn about opportunities to solve open-ended problems, build deeper technical skills, and learn how to think like an engineer. We’ll kick things off with a quick overview of the kinds of research […] |
1 event,
Presenter: Peter Sudmant, Assistant Professor of Integrative Biology, University of California, Berkeley Description: Structural variants (SVs) contribute substantially to genetic variation and play vital roles in adaptation and disease. However, SVs are poorly captured by short read sequencing and thus are understudied, particularly in non-model organisms. Here, taking advantage of recently generated haplotype-resolved genome assemblies […] |
1 event,Come and find out ALL that Career Success has to offer to UCSC students – every resources is FREE for you! Resume/Cover Letter feedback, Career Coaching Appointments, Graduate School Preparation, Interviewing Skills, Networking Opportunities, Career Fairs, Professional Development Workshops and MORE! |
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4 events,
Presenter: Spencer L. Bowen, Assistant Professor in the Departments of Radiology and Biomedical Engineering, UT Southwestern Medical Center Description: The Bowen Lab focuses on the development of tools for positron emission tomography (PET) and hybrid systems (e.g. PET/CT), to advance precision imaging for the care and study of oncology, neurology, and cardiology patients. Quantitative metrics […] Presented by: Adam Sporka Description: “This talk explores the technical and creative processes behind the music of Kingdom Come: Deliverance II, where I served as a music programmer, and soundtrack contributor. Using our proprietary Sequence Music Engine and music logic module, we authentically scored the game’s 1400s Bohemia setting with segment-based adaptive music driven by in-game variables. […] 
Presenter: Francois Ribalet, Research Associate Professor, School of Oceanography, University of Washington Description: François Ribalet will present new observational technologies and computational approaches for studying phytoplankton responses to ocean warming. Using SeaFlow, a custom-built automated flow cytometer deployed on over 100 research cruises, his team has collected nearly 850 billion cell measurements across global oceans. […] |
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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 […]
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1 event,
BME 280B Seminar: Artificial intelligence systems to advance engineered T cell immunotherapy designs
BME 280B Seminar: Artificial intelligence systems to advance engineered T cell immunotherapy designs
Presenter: Zinaida Good, Assistant Professor of Medicine in the Division of Immunology and Rheumatology and the Division of Computational Medicine, Stanford University Description: T cell immunotherapies have reshaped the treatment landscape for hematologic malignancies and are rapidly extending to solid tumors, autoimmune diseases, and transplant tolerance. Yet durable benefit remains inconsistent, and toxicities remain clinically […] |
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3 events,
Presenter: Amanda Coston, Assistant Professor, University of California Berkeley Description: Performance evaluation plays a central role in decisions about whether and how predictive algorithms should be deployed in high-stakes settings. Yet, in many real-world domains, evaluation is fundamentally difficult: the data available for assessment are often biased, incomplete, or noisy, and the act of deploying […]
Presenter: Ching-Yao Lai, Assistant Professor, Stanford University Description: I will discuss examples utilizing neural networks (NNs) to find solutions to partial differential equations (PDEs) that facilitate new discoveries. Despite being deemed universal function approximators, neural networks, in practice, struggle to fit functions with sufficient accuracy for rigorous analysis. Here, we developed multi-stage neural networks (Wang […]
Presenter: Amanda Coston, Assistant Professor, University of California Berkeley Description: Performance evaluation plays a central role in decisions about whether and how predictive algorithms should be deployed in high-stakes settings. Yet, in many real-world domains, evaluation is fundamentally difficult: the data available for assessment are often biased, incomplete, or noisy, and the act of deploying […] |
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Presenter: Danny Chou, Associate Professor of Pediatrics, Stanford University Description: Since its discovery in 1921, insulin has been at the forefront of scientific breakthroughs. From its amino acid sequencing to the revelation of its three‐dimensional structure, the progress in insulin research has spurred significant therapeutic breakthroughs. In recent years, protein engineering has introduced innovative chemical […] |
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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, […] |
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