I am delighted to be an Assistant Professor of Electrical and Computer Engineering with the University of Toronto. My research focuses on risk-averse and stochastic control theory, with emphasis on safety analysis and applications to environmental and human health. I am especially interested in the following open challenges:

  • Developing algorithms that discover, analyze, and optimize new notions for risk aversion so that control systems broaden their awareness about how to behave well under uncertainty (the meaning of ‘‘to optimize’’ depends on domain-specific needs);

  • Developing risk-averse control methods that scale to high-dimensional systems with theoretical guarantees (which are derived, for example, by using domain-specific statistical assumptions).

Overall, I hope to inspire the creation of control-theoretic technologies that promote environmental and human health.


I earned my B.S. degree (with Distinction) and M.S. degree in Mechanical Engineering from Stanford University in 2012 and 2014, respectively. I earned my Ph.D. degree in Electrical Engineering and Computer Sciences from the University of California Berkeley in 2020 (Advisor: Professor Claire Tomlin).


I am grateful to have received a Leon O. Chua Award for outstanding achievement in nonlinear science from my doctoral alma mater in 2021, a U.S. National Science Foundation Graduate Research Fellowship in 2014, a Berkeley Fellowship for Graduate Study in 2014, and a Stanford University Terman Engineering Scholastic Award in 2012.

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