Research Interests

• Signal processing and Image Defect Detection in Industry Application
• Dynamic Treatment Regimes
• Functional data analysis
• ​Reinforcement Learning
• Precision Medicine​​

​Invited Talk

• October 2014, Randomization Adapted to Continuous and Discrete Covariates in Clinical Trials, Mathematics and Statistics Department, The University of Nevada, Reno
• December 2016, Bayesian Multiple Change Point Detection with Non-local Prior, The Institute of Statistics and Big Data, Renmin University of China
• December 2016, Sufficient Direction Factor Model and its Application for eQTL Discovery, 2016 ICSA International Conference
• May 2017, A Semi-parametric Method for Survival Analysis, with Application to an AIDS Clinical Trial Study, 2017 LIDA International Conference
• June 2017, Bayesian Multiple Change Point Detection with Non-local Priors, 2017 ICSA International Conference
• June 2018, AI Powered Clinical Trial Design, 2018 AI Health Submit in Hong Kong

© 2018 Fei Jiang. All rights reserved.