About me

I am currently a Principal Researcher at the University of Chicago Booth School of Business, working with Baris Ata. I obtained my Ph.D. in Statistics from Cornell University, where I was advised by Jim Dai. From 2022 to 2024, I worked as an Applied Scientist II at amazon.com.

📢 I will be on the academic job market in 2025–2026.

My research interests lie in stochastic networks and queueing theory, with a focus on steady-state performance analysis and stochastic control in the heavy-traffic regime. We pioneered the notion of the multi-scale heavy-traffic regime, and were the first to study the product-form limit for generalized Jackson networks under this setting. I also study resource allocation in parallel-server processing networks, focusing on steady-state approximations under heterogeneous servers and class-dependent service rates.

I also work on stochastic matching in high-dimensional settings. We design dynamic matching policies via a tractable formulation that balances matching value and congestion costs in large-scale markets—such as ride-hailing and labor platforms—where high-dimensional control is critical but remains largely unexplored in the literature.