I am Weiming Feng (凤维明), a Simons-Berkeley Research Fellow at the Simons Institute for the Theory of Computing, UC Berkeley. From 2021 to 2023, I was a research associate (postdoc) at the School of Informatics, University of Edinburgh, where I worked in Dr. Heng Guo’s group. I obtained my Ph.D. degree from Nanjing University in June 2021, where I was advised by Prof. Yitong Yin. Before I studied at Nanjing University, I obtained B.Eng. degree from the University of Electronic Science and Technology of China in June 2016, where I majored in Network Engineering.
My research interest lies in theoretical computer science. Currently, I focus on sampling and counting algorithms. Classic topics include Markov chain Monte Carlo (MCMC) methods, spatial mixing of Gibbs distributions and computational phase transitions. I am also interested in new problems that arose from recent applications, including dynamic and distributed sampling algorithms.
Email: fwm1994 AT gmail DOT com
Here is my CV
Ph.D. in Computer Science, 2016 - 2021
Nanjing University (NJU)
B.Eng. in Network Engineering, 2012 - 2016
University of Electronic Science and Technology of China (UESTC)