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: Oscar Hernan Madrid Padilla, Assistant Professor, University of California, Los Angeles Description: In the first part of the talk, I will introduce TRansfer leArning via guideD horseshoE prioR (TRADER), a novel approach enabling multi-source transfer through pre-trained models in high-dimensional linear regression. TRADER shrinks target parameters towards a weighted average of source estimates, accommodating […]
Presenter: Sara Ackerman, Medical Anthropologist and Professor of Social and Behavioral Sciences, University of California, San Francisco Description: Team science has been widely promoted as a collaborative, cross-disciplinary approach to […]
The Right Livelihood International Conference is a five-week global conference exploring how education can strengthen democracy, collective intelligence, and just futures. Bringing together Right Livelihood Laureates, students, faculty, and community partners […]
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 […]
Presenter: Dr. Mohammed Mostajo-Radji, Associate Research Scientist, Genomics Institute UCSC Description: We can now grow small pieces of human brain tissue in the lab, known as brain organoids. These models […]
Presenter: Dr. Ryan Giordano, UC Berkeley Statistics Description: Multilevel Regression with Post-stratification (MrP) has become a workhorse method for estimating population quantities using non-probability surveys, and is the primary alternative […]
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 […]
University of Pennsylvania and Johns Hopkins Schools of Nursing each offer accelerated nursing programs for individuals looking to transition to the field from non-nursing degrees.
We will cover program overview, admissions and career outcomes.
Join us for an in-person workshop with COOP Careers about elevating your professional brand – just in time to prepare for the Spring Career & Internship Fair.
This session will help students craft a compelling professional pitch, tailor their resume to stand out to employers, and network meaningfully with industry professionals. Don’t miss this chance to get fair-ready and set yourself up for success!
Please join us for the second talk in the FINS: Fisheries Insights Narratives and Stories seminar series featuring Adjunct Professor Dr. George Leonard. His talk, “Lessons learned from my time at the science-policy interface” will discuss his extensive experience at the ocean science-policy interface at major nonprofits (Monterey Bay Aquarium and Ocean Conservancy). He initiated, developed, and led a host of conservation programs during his time at Ocean Conservancy including offshore aquaculture, plastics pollution, ocean acidification, climate change, mesopelagic fisheries, and deep-sea mining. During his early career at Monterey Bay Aquarium, he developed the scientific foundation for the nascent sustainable seafood movement. Preceding the talk please join us for a networking coffee hour (snacks provided) and a student-only lunch after the talk.
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, […]
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 […]
Presenter: Snigdha Panigrahi, Associate Professor, Department of Statistics, University of Michigan Description:Agglomerative hierarchical clustering is one of the most widely used approaches for exploring how observations in a dataset relate […]
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 safety-critical domains like healthcare, some fundamental challenges remain: (1) The insufficiency of raw biomedical data emphasizes the need for data-efficient and robust learning approaches. (2) […]
Presented by: Edward Wang Description: “What does it actually look like to invent something? In this talk, I trace the decade-long journey of turning a smartphone into a blood pressure monitor, from Seismo, which used smartphone accelerometers to measure pulse transit time, to BPClip, a dollar clip that brought calibration-free oscillometry to the fingertip, to VibroBP, which […]
Presenter: Riddhiman Bhattacharya, Postdoc, UCSC Description: We propose an active learning approach for dynamic fair resource allocation problems. In contrast to prior work that assumes full feedback from all agents on their allocations, we focus on scenarios where feedback is available only from a carefully select subset of agents at each epoch of the online […]
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 many-body systems. By achieving the accuracy of first-principles quantum calculations at a fraction of the computational cost, these models enable atomistic simulations of condensed matter […]
Presenter: Philipp Haller, KTH Royal Institute of Technology Abstract: Distributed programming is notoriously difficult. Not only are distributed systems concurrent, they pose additional challenges including data consistency and fault tolerance. At the same time, the share of software systems that are necessarily distributed systems is growing rapidly. As a result, too many software developers are […]
Presenter: Guan’ao Yan, Assistant Professor, Michigan State University Description: Single-cell and spatial transcriptomics technologies now let us map cellular diversity and tissue organization at high resolution, but the computational methods built to analyze these data are difficult to evaluate in a rigorous, reproducible way. Two key barriers are the lack of realistic synthetic data with […]