Faming Liang

Faming Liang is a Distinguished Professor of Statistics at Purdue University, with broad research interests in computational statistics and uncertainty quantification. His work has made significant contributions to Markov chain Monte Carlo, graphical modeling, sparse deep learning, stochastic deep learning, fiducial inference, and uncertainty-aware AI. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics, an elected member of the International Statistical Institute, and a former co-editor of the Journal of Computational and Graphical Statistics.