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 […]
Ivette Perfecto from the University of Michigan In Person Location: ISB 221 Zoom Link The question of how species coexist in ecological communities has fascinated ecologists since the time of […]
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 to traditional survey calibration weights, e.g.~ as computed by raking. For simple linear regression models, MrP methods admit “equivalent weights”, allowing for direct comparisons between […]
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, […]
Keisha Ernst from the Catalyst Bio-Amendments and Compost Academy In Person Location: ISB 221 Zoom Link In this talk, Keisha will explore how biologically focused compost production differs from conventional […]
Christopher Lang from the UCSC Environmental Studies Department In Person Location: ISB 221 Zoom Link Lang explores the politics of disposability in New Orleans, Louisiana, revealing how pollution intersects with […]
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 […]
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 to each other. However, its greedy nature makes it highly sensitive to small perturbations in the data, often producing different clustering results and making it […]
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 […]
Presenter: Dr. Newman, Associate Professor in the Department of Biomedical Data Science, Stanford University Description: Determining the factors that shape cell potency—the ability of a cell to differentiate into other cell types—is essential for understanding tissue biology in health and disease, including cancer. In previous work, we found that single-cell transcriptional diversity decreases across […]
Presenter: Richard “Ed” Green, Professor of Bimolecular Engineering @ UCSC Bio: Richard E. Green (Ed) was born in Atlanta, Georgia, USA in 1972. He graduated from the University of Georgia (B.Sc. Genetics) in 1997. Before graduate school, Ed was in Peace Corps (Barentu, Eritrea) and was a lab tech at Emory University. Ed studied with Steven […]
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 […]
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 […]
Sanya Cowal from the UCSC Environmental Studies Department In Person Location: ISB 221 Zoom Link One of the most pressing global challenges considers how to combine sustainable agricultural land use […]
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 […]