Andi Wang

About

Dr. Andi Wang is an Assistant Professor at the University of Warwick, UK. His research focuses on Markov chains, particularly Metropolis Markov chains and their convergence properties, as well as applications in Monte Carlo methods. Dr. Wang has contributed to discussions on probabilistic and statistical aspects of machine learning, and has explored topics related to quasi-stationary distributions and subgeometric hypocoercivity.