Tavor Baharav

Tavor Baharav 

Postdoctoral fellow
Eric and Wendy Schmidt Center
Broad Institute

Google Scholar

Brief Bio

I am a third-year postdoctoral fellow at the Eric and Wendy Schmidt Center at the Broad Institute, working with Professor Rafael Irizarry. I am on the 2025-26 academic job market; please reach out if you think my work would be a good fit for your department!

My research develops machine learning methods that co-design the full data science pipeline — from data collection through measurement system design to statistical inference — rather than optimizing these stages in isolation. Through first-principles probabilistic modeling, I develop algorithms that achieve both rigorous theoretical guarantees and practical computational efficiency by adapting to problem structure: learning which data to collect, how to allocate computation, and how to account for upstream design choices in downstream inference.

This approach spans diverse applications: online learning, adaptive randomized algorithms for accelerating data-science tasks like clustering (leveraging techniques from multi-armed bandits), and reference-free genomic inference. I am currently applying these methods to problems in computational genomics, where I work on fundamental theoretical questions in data integration, and practical applications in T-cell repertoire analysis through close collaboration with experimental biologists and clinical researchers (immunology). Feel free to reach out if any of these topics interest you; I'm always happy to chat!

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 completed my undergraduate studies in EECS at UC Berkeley, where I was fortunate to have the opportunity to work with Kannan Ramchandran on coding theory and its applications to distributed computing.


Disambiguation

I am not the only Baharav working in EECS in the Boston area! If you're interested in computational social choice, you may be looking for my sister Carmel Baharav who works down the street.


Contact

Email: “last name” at broadinstitute dot org
Room M1115, 75 Ames St, Cambridge, MA 02142