Email: andrew.lan(at)princeton(dot)edu
Andrew S. Lan

Andrew (Shiting) Lan is a postdoctoral research associate in the EDGE Lab at the Department of Electrical Engineering, Princeton University, advised by Prof. Mung Chiang and affiliated with Prof. H Vincent Poor, since Feb. 2017.

From June 2016 to Jan.2017, he was a
postdoctoral research associate in the Digital Signal Processing (DSP) group and OpenStax at Rice University.

He received his M.S. and Ph.D. degrees in May 2014 and May 2016, respectively, advised by Prof. Richard G. Baraniuk. Prior to that, he received his B.S. degree from the Hong Kong University of Science and Technology in Physics and Mathematics with a minor in Information Technology. He also attended Georgia Institute of Technology in 2009.

His research focuses on developing machine learning techniques for personalized education. At the same time, he is generally interested in machine learning, including convex and nonconvex optimization, Bayesian data analysis, and various kinds of decision making algorithms. See the research page for details and the publications page for a list of his publications. He has co-organized a series of workshops on machine learning for education; see ml4ed for details.