I am a postdoctoral scholar at the Automatic Control Laboratory, ETH Zürich, working with John Lygeros and Florian Dörfler. Before this, I completed my PhD in Aeronautics and Astronautics at the University of Washington, advised by Behçet Açıkmeşe and Pierre-Loïc Garoche.
I will be joining Georgia Tech Aerospace Engineering as an assistant professor in January, 2025!
I am looking for prospective graduate students interested in advanced air mobility, supply chains, and space traffic through the lens of:

1. Game Theory for Safety-critical Operations [1] [2] [3]
2. Stochastic Control for Forecast-driven Systems [1] [2]
3. Orbital Decision-making under Epistemic Uncertainty

Please apply through Georgia Tech AE and indicate your interest in working with me. If you have specific interest/experience with any of the topics listed above, please send me an email.

I optimize large-scale, multi-agent autonomous systems in uncertain environments, specifically in the areas of robotics, urban transportation, and air traffic management. My research combines techniques from optimization, control theory, and game theory to develop frameworks that scalably integrates congestion-free autonomous behavior into existing infrastructure in urban, air, and space traffic management.

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✨Recent News

[January 03, 2023]   Invited Seminar I gave an invited talk at the University of Washington as a part of the Industrial Engineering Seminar course, IND E 592.
[November 15, 2022]   CoRL 2022 Workshop on Strategic Multi-agent Interactions Our latest work on applying congestion games to air traffic management will be appearing in the Workshop on Strategic, Multi-agent Interactions at the Conference on Robot Learning (CoRL) in New Zealand, 2022!
[October 16, 2022]   INFORMS 2022 I presented our latest L-CSS submission, Congestion-aware path coordination game with Markov decision process dynamics, at INFORMS 2022 in Indianapolis.
[October 04, 2022]   Autonomy Talks at ETH Zurich I presented my work on large-scale autonomy at Autonomy Talks, hosted by the Institute for Dynamic Systems and Control at ETH Zurich. See the recording here: https://www.youtube.com/watch?v=nXL7A7htcpI.
[September 27, 2022]   Manhattan Ride-hail Markov Decision Process Congestion Game My latest python package for modeling ride-hail driver competition is live on github at github.com/lisarah/manhattan_MDP_queue_game. This model cleans up ride-hail demand data from Taxi and Limousine Commission and builds a Markov decision process for the ride-hail drivers.

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