I am an Assistant Professor at the University of South Florida, Department of Industrial and Management Systems Engineering.

My research focuses on the use of clusterability and deterministic global optimization tools to address challenges when building scalable trustworthy machine learning systems. In collaboration with industrial and experimental research groups, I am using my algorithms in a wide range of applications, including neural network modularity, federated learning, biomass and biorefinery processes, neural decoding of the brain, and business decision-making. I have developed several open-source software products (with shared or distributed memory) for the community.

I was a Postdoctoral Research Fellow affiliated to the Institute of Applied Mathematics and Department of Chemical and Biological Engineering, University of British Columbia, under the supervision of Yankai Cao. I obtained my M.S. and Ph.D. degree in Computer Science from University of Massachusetts, Boston, under the supervision of Dan A. Simovici. I received my M.Eng. (Master of Engineering) degree in Systems Engineering from Cornell University, advised by Hsiao-Dong Chiang and a B.S. degree in Electrical and Computer Engineering from Shanghai Jiao Tong University.