Ugo Rosolia

(Final confirmation pending)

He is a research science manager at Amazon, specializing in control, optimization, and data-based algorithms. Before joining Amazon, he worked as a postdoctoral scholar at Caltech, collaborating with Prof. Aaron Ames and Prof. Yisong Yue. His research at Caltech focused on high-level planning in partially observable environments and the design of control algorithms to ensure the safety of autonomous systems during highly dynamic maneuvers.

During his Ph.D. at the University of California Berkeley, he collaborated with Prof. Francesco Borrelli in the MPC lab. His doctoral research led to the development of the Learning Model Predictive Control (LMPC) strategy, a model-based policy iteration approach.