Changyou Chen is now a Research Assistant Professor in the Department of Electrical and Computer Engineering at Duke University. He obtained his PhD degree in 2014 from College of Engineering and Computer Science, the Australian National University; his master and bachelor degrees in 2010 and 2007, respectively, both from School of Computer Science, Fudan University, Shanghai, China.
His current research interest focuses on developing scalable Bayesian methods for deep learning. Particularity he develops theory for stochastic gradient Markov Chain Monte Carlo algorithms, and applies them for Bayesian interpretation/extension of the optimization-based deep learning. He is also developing distributed Bayesian learning theory and algorithms for industrial-scale data. His previous research focused on Bayesian Nonparametric methods such as Dirichlet processes and dependent normalized random measures.