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.

Contact

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