Faculty Candidate Seminar|
Understanding Epigenomic Drivers of Human Diseases
University of California Berkeley
Monday, February 24, 2014|
4:00pm - 5:00pm
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About the Event
New genomic technologies generate unprecedented data on the inner workings of
cells. To harness this data to understand and diagnose human diseases, we need to
tackle several challenges (opportunities) in machine learning.
James Zou is a Ph.D. candidate at Harvard and the Broad Institute, and is also a Simons Research Fellow at U.C. Berkeley. He is interested in developing new probabilistic models and machine learning algorithms, and in applying them to tackle challenges in computational biology and synthetic biology. He is also interested in multi-agent systems and algorithms inspired by biology. His research has been supported by a NSF Graduate Fellowship and a Gates Cambridge Scholarship.
Open to: Public