Tavor Baharav

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Fifth year PhD student
Stanford University
Electrical Engineering

Brief Bio

I'm a Ph.D. student in Electrical Engineering at Stanford University working with David Tse and Julia Salzman. 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.

I am grateful to be 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.

Future news: I'll be starting as a postdoc at the Eric and Wendy Schmidt Center at the Broad Institute in September 2023, where I'll be working with Rafael Irizarry. If you're in the Boston area, and any of the above sounds interesting to you, please reach out!


Email: “first name” + “last initial” at stanford dot edu