I am an Assistant Professor in the Department of Biostatistics at MD Anderson Cancer Center. Previously, I was an Assistant Professor with the Artificial Intelligence Initiative in the Department of Biostatistics at the University of Florida. I obtained my Ph.D. degree in statistics from the University of Wisconsin-Madison in 2018. After graduation, I briefly worked as a Data Scientist at Google. Then, I joined Fred Hutchinson Cancer Research Center as a post-doctoral research fellow working on biostatistics methodology and applications.
My research goal is to realize data-driven personalized/individualized decision-making through innovative methods combining statistical and machine learning techniques. My methodological research focuses on personalized decision-making, causal inference, and novel AI/ML topics, including transfer and multi-modal learning. This expertise also leads to a rich spectrum of collaborations with researchers in biomedical informatics (e.g., electronic health records) and physicians in clinical research.
Address: 7007 Bertner Ave, 12th Floor, Houston, TX 77030
Email: muxuan.liang@ufl.edu
My profile at Google Scholar, Research Gate
Ph.D in Statistics, Department of Statistics, University of Wisconsin-Madison, 2014 - 2018
B.S. in Mathematics and Applied Mathematics, Tsinghua University, 2010 - 2014
Assistant Professor with the Artificial Intelligence Initiative, University of Florida, 2022 - 2025
Post-doctoral Fellow at Fred Hutchinson Cancer Center, 2020 - 2022
Quantitative Analyst at Google, 2019
Summer Intern at Eli Lilly & Company, 2017
R21-NIA
Title: Gaze Stability during Walking in Parkinson's Disease
Role: co-I
Reviewer: Statistics in Medicine, Biometrics, Annals of Applied Statistics, Journal of Nonparametric Statistics, IEEE Robotics and Automation Letters, Journal of Machine Learning Research, Journal of the American Statistical Association, Journal of the Royal Statistical Society: Series B, Annals of Statistics, Nature Medicine.
Co-lead of Cancer AI Working Group, UF Health Cancer Center
2023/2024 V Foundation for Cancer Research Grant Review Panel - Statistical Reviewer
2021/2022 ICSA Student Paper Award Committee