Tavor Baharav

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Postdoctoral fellow
Eric and Wendy Schmidt Center
Broad Institute

Brief Bio

I'm a first year postdoctoral fellow at the Eric and Wendy Schmidt Center at the Broad Institute, working with Rafael Irizarry. My research interests are in algorithm design, particularly in constructing data-driven algorithms that adapt to problem instance difficulty. My recent work has focused on developing computationally efficient and statistically valid reference-free methods for computational genomics. More broadly, I am interested in randomized 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