Professor | Cheng Zhang | Asia Growth Partners

Name

Cheng Zhang

Contact Information

chengzhang@math.pku.edu.cn

Language ability

Chinese, English

Province

Beijing

University/Lab Affiliation and Title	Peking University
Faculty	Mathematical Sciences
Academic Background & Achievements	2017 PhD in Computational Mathematics, University of California, Irvine 2011 Master's in Computational Mathematics, Peking University 2008 Bachelor's in Mathematics, Peking University
Work Experience	2019-08 to present, Peking University, Assistant Professor 2017-01 to 2019-07, Fred Hutchinson Cancer Research Center, USA, Postdoctoral Research Fellow

University/Lab Affiliation and Title

Peking University

Faculty

Mathematical Sciences

Academic Background & Achievements

Work Experience

2019-08 to present, Peking University, Assistant Professor
2017-01 to 2019-07, Fred Hutchinson Cancer Research Center, USA, Postdoctoral Research Fellow

Areas of Focus	Bayesian Inference Statistical Learning Computational Biology
Publications	Variational Bayesian Phylogenetic Inference, C. Zhang and F. A. Matsen IV, 2019 Generalizing Tree Probability Estimation via Bayesian Networks, C. Zhang and F. A. Matsen IV, 2018 Variational Hamiltonian Monte Carlo via Score Matching, C. Zhang, B. Shahbaba and H. K. Zhao, 2018 Probabilistic Path Hamiltonian Monte Carlo, V. Dinh, A. Bilge, C. Zhang, and F. A. Matsen IV, 2017 Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random Bases, C. Zhang, B. Shahbaba and H. K. Zhao, 2017

Areas of Focus

Bayesian Inference
Statistical Learning
Computational Biology

Publications

Variational Bayesian Phylogenetic Inference, C. Zhang and F. A. Matsen IV, 2019
Generalizing Tree Probability Estimation via Bayesian Networks, C. Zhang and F. A. Matsen IV, 2018
Variational Hamiltonian Monte Carlo via Score Matching, C. Zhang, B. Shahbaba and H. K. Zhao, 2018
Probabilistic Path Hamiltonian Monte Carlo, V. Dinh, A. Bilge, C. Zhang, and F. A. Matsen IV, 2017
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random Bases, C. Zhang, B. Shahbaba and H. K. Zhao, 2017

Bayesian Inference Statistics Learning Computational Biology Data Analysis Modeling Algorithms Research

Zuoquan Lin - Peking University

Chao Yang - Peking University

Zhihua Zhang - Peking University

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