Events
Now accepting applications for Spring 2026
The Data Science in Biomedicine MS provides training in Data Science, Machine Learning, Statistics, Data Mining, Algorithms, and Analytics with applications to Genomics, Electronic Health Records, and Medical Images.
Information Sessions Dates
Confirmed Speakers:
Emily Fox, Stanford University
Trevor Hastie, Stanford University
Kenneth Lange, UCLA
Runze Li, Penn State University
John Novembre, University of Chicago
Lieven Vandenberghe, UCLA
We are now accepting applications for the Computational Genomics Summer Institute 2026!
Long Program, July 8 – 31
July 13 -17 - 1st Short Program: Comp. Genomics
July 27 – 31 - 2nd Short Program: Comp. Medicine
Past Events
Talk Title: Statistical machine learning for learning representations of embryonic development
Thursday at 9:00 AM PST
at CHS 23-105 (add to your calendar)
4/25/24 | Bianca Dumitrascu, Ph.D.
The Frontiers in Computational Medicine Seminar Series
Talk Title: Computationally scalable approaches for large-scale inference in genetics and genomics
Thursday at 9:00 AM PST at CHS 23-105 (add to your calendar)
4/18/24 | Nick Mancuso, PhD
The Frontiers in Computational Medicine Seminar Series
Talk Title: Beyond Cells: Tissue Context and Gene Programs
Thursday at 9:00 AM PST at CHS 23-105 (add to your calendar)
4/4/24 | Dana Pe'er, PhD
The Frontiers in Computational Medicine Seminar Series
Talk Title: Modeling Dementia Risk in Real World Data
Thursday at 9:00 AM PST at CHS 13-105 (add to your calendar)
3/7/24 | Timothy Chang MD, PhD
The Frontiers in Computational Medicine Seminar Series