Presenter: Vaso Rahimzadeh, Assistant Professor, Baylor College of Medicine Description: As humans venture farther into outer space, new scientific discovery awaits including in genomics; but so do new ethical dilemmas. […]
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 […]
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), […]
The BME Department and Genomics Institute are once again hosting our annual Next Wave of Faculty in Genomics Symposium, which will be held on April 7th from 11:40–1:15 in E2 180. Please join us to hear cutting-edge genomics talks from outstanding postdocs from around the country! A burrito reception catered by Alebrije’s will follow immediately after the talks. Registration is free, but […]
Lead innovation as a machine learning engineer Want to learn what’s new in AI? Join Praveen Krishna, chair of the Artificial Intelligence Application Development certificate program, in an informal discussion about the AI topic of the month and an open Q&A. You’ll get an insider’s look at what you need to know for where you […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
This quarter, make time for you, for reflection, and for community!
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 […]
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, […]
Undergraduate and graduate students and recent alumni interested in pursuing careers in business, arts, social sciences & humanities industries are welcome to attend. Get the chance to meet recruiters from many industries/firms seeking to fill internship, full-time, and part-time roles. Come take essential steps toward laying the foundation for your future career and potentially even land an interview!
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 […]