Postdoctoral Researcher 

Department of Electrical Engineering and Computer Sciences

UC Berkeley

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I am a postdoctoral researcher at UC Berkeley, hosted by Michael I. Jordan. Previously, I was a PhD student at ETH Zurich in Florian Dörfler's research group. My current research lies at the intersection of optimization, statistics, and computation, addressing the challenges of optimal decision-making under uncertainty. This includes complex forms of uncertainty such as distribution shifts, rare events (black swans), and graph-structured correlations. My theoretical work generally draws inspiration from fundamental engineering challenges in machine learning, power systems, energy markets, and transportation, where uncertainty plays a key role in decision-making and system resilience. My PhD work mainly focused on developing the foundations of distributionally robust optimization, with applications in high-dimensional estimation, automatic control, and energy markets. Earlier in my PhD, I worked on the stability and robustness of nonlinear systems, with applications to renewable-integrated power systems.