I am an Assistant Professor with the Artificial Intelligence Initiative in the Department of Biostatistics, 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: 2004 Mowry Road, 3th Floor CTRB, Gainesville, FL 32611
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
Post-doctoral Fellow at Fred Hutchinson Cancer Center, 2020 - 2022
Quantitative Analyst at Google, 2019
Summer Intern at Eli Lilly & Company, 2017
R21-NIA (Percentile: 6%)
Title: Gaze Stability during Walking in Parkinson's Disease
Role: co-I
W. Martin Smith Interdisciplinary Patient Safety Awards
Title: The Effect of an Oral Care Protocol on Nurse Compliance and Oral Health Scores: A Quality Improvement Project
Role: co-I
1RM1GM139690-01
Title: Dysfunctional Myelopoiesis and Myeloid-Derived Suppressor Cells in Sepsis Pathobiology
Role: Lead Statistician
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