I am a UC President’s Postdoctoral Fellow at UC Berkeley, hosted by Christian Borgs. Starting in the summer of 2025, I will join the USC Marshall School of Business as an Assistant Professor of Data Sciences and Operations.

I recently completed my Ph.D. at Stanford University in the Operations Research group within the Department of Management Science & Engineering, advised by Amin Saberi. During my Ph.D., I spent a semester at the Simons Institute for the Theory of Computing as a research fellow. Prior to Stanford, I received my B.Sc. in Computer Engineering with a minor in Mathematics from the Sharif University of Technology.

My research centers on learning and decision-making using network data. By integrating tools from applied probability, algorithm design, and the theory of graph limits, I develop methods that deepen our theoretical understanding of complex networks and address pressing challenges in business operations, including healthcare and online markets.

As one illustration of my broader agenda, I have designed algorithms with provable theoretical guarantees to predict epidemic trajectories using small, local network samples—eliminating the need for parametric model assumptions about the underlying network. In a different line of work, I collaborated with the Los Angeles Unified School District (LAUSD) to create network models for epidemic spread, guiding COVID-19 reopening strategies and informing safer, more equitable policy decisions.

For a full list of my publications, click here.

Email:yeganeha@berkeley.edu.