Margaret Chapman received her PhD degree at the University of California Berkeley in the Department of Electrical Engineering and Computer Sciences in 2020, where she was advised by Professor Claire Tomlin. Professor Chapman received her BS degree (with Distinction) and her MS degree in Mechanical Engineering from Stanford University in 2012 and 2014, respectively.
Her research focuses on bridging the gap between robust and stochastic optimal control via risk measure theory, with emphasis on safety-critical applications in healthcare and sustainable cities. She is especially interested in the following open challenges: 1) developing risk-sensitive control methods that scale to high-dimensional systems while providing safety or quality-of-approximation guarantees by exploiting domain-specific structure; 2) developing safety analysis methods that rigorously integrate physics-based models and data-driven models with non-asymptotic quality-of-approximation guarantees; and 3) inspiring scholarship that is focused on creating, not technologies for convenience, but technologies that promote the safety and well-being of the planet and its people.
- US National Science Foundation Graduate Research Fellowship
- Berkeley Fellowship for Graduate Study
- Terman Engineering Scholastic Award
- Tau Beta Pi, Engineering Honors Society