I work in the area of robust control theory which focuses on the impact of model uncertainty on systems design. I am a contributor to the Robust Control Toolbox in Matlab. I am currently developing theoretical and numerical algorithms to assess the robustness of systems on finite time horizons. I am also investigating the use of robust control techniques to better understand optimization algorithms and model-free reinforcement learning methods.

I joined Michigan in 2020 from the University of Minnesota, where I had been working on advanced control techniques for wind turbines, fault-detection methods for safety-critical systems and robust control of disk drives.

From 2004-2008, I worked at the Honeywell Research Labs on various aerospace and automotive applications including the redundancy management system for the Boeing 787, sensor fusion algorithms for automotive active safety systems and re-entry flight control laws for NASA’s Orion vehicle. I joined the University of Minnesota in 2008, where I worked on advanced control techniques for wind turbines, fault-detection methods for safety-critical systems and robust control of disk drives. My research is grounded in robust control theory which focuses on the impact of model uncertainty on systems design.

Current CV