JUNE 11: Lunch and Learn: Dr. Bin Yu, University of California at Berkeley
Lunch and Learn: “Why Veridical Data Science for Medical AI?”
June 11, 2024 | 12-1PM. Hybrid Event.
In-Person: Crosstown Center, 801 Mass Ave, 3rd Floor, Room 305.
Register Now:
In-Person VirtualBio: Dr. Bin Yu is Chancellor’s Distinguished Professor and Class of 1936 Second Chair in Statistics, EECS, and Computational Biology at UC Berkeley. Her research focuses on the practice and theory of statistical machine learning, veridical data science, and solving interdisciplinary data problems in neuroscience, genomics, and precision medicine. She and her team have developed algorithms such as iterative random forests (iRF), stability-driven NMF, and adaptive wavelet distillation (AWD) from deep learning models. She is a member of the National Academy of Sciences and of the American Academy of Arts and Sciences. She was a Guggenheim Fellow, and holds an Honorary Doctorate from The University of Lausanne.