Shiwen Zhao

Short Bio

Hi, I received my Ph.D. from Duke University in 2016. My advisors are Barbara E Engelhardt and Sayan Mukherjee. I am interested in statistics and machine learning in general. Before arriving in U.S., I worked with Shao Li in Tsinghua University.

Links: Github, Linkedin, Blog

Education

• B.E. Tsinghua University 2009

• M.S. Tsinghua University 2012

• Ph.D. Duke University 2016

Dissertation

• Shiwen Zhao, New Advancements of Scalable Statistical Methods for Learning Latent Structures in Big Data, Duke University, 2016

Selected Publications

• Shiwen Zhao, Barbara E Engelhardt, Sayan Mukherjee, David B Dunson (2016+) Fast Moment Estimation for Generalized Latent Dirichlet Variable Models. Journal of the American Statistical Association, Accepted. package

• Shiwen Zhao, Chuan Gao, Sayan Mukherjee, Barbara E Engelhardt (2016) Bayesian Group Factor Analysis with Structured Sparsity. the Journal of Machine Learning Research, 17(196):1-47. software

• Chuan Gao, Ian C McDowell, Shiwen Zhao, Christopher D Brown, Barbara E Engelhardt (2016) Differential Gene Co-expression Networks via Bayesian Biclustering Models. PLoS Computational Biology, 12(7):e1004791.

• Shiwen Zhao, Shao Li (2012) A Co-module Approach for Elucidating Drug-Disease Association and Revealing Their Molecular Basis. Bioinformatics, 28(7):955-961. software + data

• Shiwen Zhao, Shao Li (2010) Network-based Relating Pharmacological and Genomic Spaces for Drug Target Identification. PLoS ONE, 5(7): e11764. code

Talks

Teaching