Tavor Baharav

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Postdoctoral fellow
Eric and Wendy Schmidt Center
Broad Institute

Brief Bio

I am a first year postdoctoral fellow at the Eric and Wendy Schmidt Center at the Broad Institute, working with Rafael Irizarry. My recent work has focused on developing computationally efficient and statistically valid methods for analyzing raw sequencing data without a reference genome. I have also worked on adaptive algorithms for data science problems using multi-armed bandits. My research borrows tools from optimization, information theory, and probability theory to design practically efficient and theoretically grounded algorithms. More broadly, I am interested in data-adaptive algorithms, machine learning, multi-armed bandits, and their applications in engineering and computational genomics problems, particularly in the design and analysis of algorithms for analyzing high throughput sequencing data.

In 2023 I completed my Ph.D. in Electrical Engineering at Stanford University, where I worked with David Tse and Julia Salzman. At Stanford, I was gratefully supported by the NSF Graduate Research Fellowship and the Stanford Graduate Fellowship (SGF). Previously, I graduated from UC Berkeley, where I was fortunate to have the opportunity to work with Kannan Ramchandran on coding theory and its applications to distributed computing.


Email: “last name” at broadinstitute dot org