Quan Zhang, Ph.D.
quan.zhang@broad.msu.edu
Department of Accounting and Information Systems
Michigan State University
632 Bogue St Rm N253
East Lansing, MI 48824
I am an assistant professor in the Department of Accounting and Information Systems, Broad College of Business, Michigan State University. My research is focused on interpretable learning to achieve a good balance of interpretability and model capacity and applying novel methodology to business analytics.
Education
- Ph.D. in Information, Risk and Operations Management
the University of Texas at Austin, 2020. - Master of Science in Biostatistics (Ph.D. study)
the University of Minnesota at Twin Cities, 2015. - Bachelor of Biological Science and Economics
Peking University, 2012.
Research interest
Methodology: Statistics, machine learning, interpretable learning, Bayesian methods, variational inference, big data.
Modeling: Survival analysis, classification, discrete choice models, regression (for skewed and heterogeneous data). Application: Telemedicine, quant marketing, online finance (particularly crowdfunding), medical data analysis, clinical trialTeaching
Fall 2020 ITM885 Machine Learning and Optimization
Working papers
Quan Zhang, Huangjie Zheng and Mingyuan Zhou. "MCMC-Interactive Variational Inference."
Quan Zhang, Qiang Gao, Mingfeng Lin and Mingyuan Zhou. "Weibull Racing Time-to-event Modeling and Analysis of Online Borrowers' Loan Payoff and Default."Publications
Quan Zhang and Mingyuan Zhou. "Nonparametric Bayesian Lomax Racing for Survival Analysis with Competing Risks." Advances in Neural Information Processing Systems. 2018. code
Quan Zhang and Mingyuan Zhou. "Permuted and Augmented Stick-Breaking Bayesian Multinomial Regression." Journal of Machine Learning Research (2018): Vol. 18(204) 1−33. Quan Zhang, Youssef Toubouti, and Bradley P. Carlin. "Design and analysis of Bayesian adaptive crossover trials for evaluating contact lens safety and efficacy." Statistical Methods in Medical Research (2017): Vol. 26(3) 1216–1236.