Yongxin Chen received his BS in Mechanical Engineering from Shanghai Jiao Tong university, China, in 2011, and a Ph.D. degree in Mechanical Engineering, under the supervision of Tryphon Georgiou, from University of Minnesota in 2016. He is currently an Assistant Professor in the School of Aerospace Engineering at Georgia Institute of Technology. Before joining Georgia Tech, he had a one-year Research Fellowship in the Department of Medical Physics at Memorial Sloan Kettering Cancer Center with Allen Tannenbaum from 2016 to 2017 and was an Assistant Professor in the Department of Electrical and Computer Engineering at Iowa State University from 2017 to 2018. He received the George S. Axelby Best Paper Award (IEEE Transaction on Automatic Control) in 2017 for his joint work ‘‘Optimal steering of a linear stochastic system to a final probability distribution, Part I’’ with Tryphon Georgiou and Michele Pavon. He received the NSF CAREER Award in 2020.

He has conducted researches in stochastic control, optimal transport, machine learning, and optimization. His current research focuses on the intersection between control, machine learning and robotics with the goal to develop theoretical foundations and algorithms for robots so that they are able to accomplish complex tasks autonomously and reliably.