Scholar
Cheng Zhang
Google Scholar ID: PddDrLgAAAAJ
Assistant Professor, Peking University
Citations & Impact
Citations
452
H-index
12
i10-index
13
Publications
20
Co-authors
9
list available
Contact
Publications
Resume (English only)
Research Experience
- Currently a tenure-track Assistant Professor in the School of Mathematical Sciences at Peking University. Previously, a Postdoctoral research fellow in Matsen Group at Fred Hutchinson cancer research center.
Education
- Received Bachelor degree (2008) in applied mathematics and Master degree (2011) in computational mathematics from Peking University. Finished PhD in 2016 in the Mathematics Department at University of California, Irvine, working with Prof. Hongkai Zhao and Prof. Babak Shahbaba on scalable Bayesian inference methods.
Background
- Research area is Bayesian statistics and machine learning, with interests including graphical models, efficient Markov chain Monte Carlo methods and variational inference methods for Bayesian models, deep Bayesian learning/Bayesian deep learning, and various applications using probabilistic modeling. Examples of subjects of interest include: Scalable MCMC and variational approaches for large-scale Bayesian inference; Graphical modeling of discrete and structured objects; Efficient Bayesian phylogenetic inference algorithms, including both variational and Monte Carlo methods.
