Muxuan Liang

Muxuan Liang,

Assistant Professor

Department: PHHP-COM BIOSTATISTICS
Business Phone: (352) 294-5935
Business Email: muxuan.liang@ufl.edu

About Muxuan Liang

Dr. Liang is an assistant professor with the Artificial Intelligence Initiative in the Department of Biostatistics. He received his Ph.D. in statistics from the University of Wisconsin-Madison in 2018. After graduation, he briefly worked at Google as a data scientist and joined the Fred Hutchinson Cancer Research Center as a post-doctoral research fellow. Dr. Liang’s research interest focuses on treatment recommendations based on patient-level information, identifying signals from high-dimensional data, and other novel machine learning techniques with applications to biomarker identification, cancer surveillance, and digital health.

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Accomplishments

ASA Biometrics Section Travel Award
2018 · American Statistical Association

Teaching Profile

Courses Taught
2022
PHC7979 Advanced Research

Research Profile

Dr. Liang’s research topics focus on treatment recommendations based on patient-level information, identifying signals from high-dimensional data, and other novel machine learning techniques with applications to biomarker identification, cancer surveillance, and digital health. His research goal is to realize data-driven healthcare decision-making through innovative methods combining statistical and machine learning techniques.

Open Researcher and Contributor ID (ORCID)

0000-0002-1351-7928

Areas of Interest
  • Causal inference
  • High-dimensional inference
  • Machine Learning
  • Precision Medicine

Publications

2022
Radioembolization Followed by Transarterial Chemoembolization in Hepatocellular Carcinoma.
Cureus. 14(4) [DOI] 10.7759/cureus.23783. [PMID] 35518553.
2021
Discussion of Kallus (2020) and Mo et al. (2020)
Journal of the American Statistical Association. 116(534):690-693 [DOI] 10.1080/01621459.2020.1833887. [PMID] 34483404.
2021
Robust estimation and variable selection for the accelerated failure time model
Statistics in Medicine. 40(20):4473-4491 [DOI] 10.1002/sim.9042. [PMID] 34031919.
2021
The Causal Relationship Between Portal Usage and Self-Efficacious Health Information–Seeking Behaviors: Secondary Analysis of the Health Information National Trends Survey Data
Journal of Medical Internet Research. 23(1) [DOI] 10.2196/17782. [PMID] 33502334.
2020
A Semiparametric Approach to Model Effect Modification
Journal of the American Statistical Association. 1-13 [DOI] 10.1080/01621459.2020.1811099.
2020
Characteristics of Patients Using Different Patient Portal Functions and the Impact on Primary Care Service Utilization and Appointment Adherence: Retrospective Observational Study
Journal of Medical Internet Research. 22(2) [DOI] 10.2196/14410. [PMID] 32130124.
2018
A Computational-Based Approach to Identify Estrogen Receptor α/β Heterodimer Selective Ligands.
Molecular pharmacology. 93(3):197-207 [DOI] 10.1124/mol.117.108696. [PMID] 29295894.
2018
Estimating individualized optimal combination therapies through outcome weighted deep learning algorithms
Statistics in Medicine. 37(27):3869-3886 [DOI] 10.1002/sim.7902.
2018
On the effect of electronic patient portal on primary care utilization and appointment adherence.
BMC medical informatics and decision making. 18(1) [DOI] 10.1186/s12911-018-0669-8. [PMID] 30326876.
2018
Risk prediction for heterogeneous populations with application to hospital admission prediction.
Biometrics. 74(2):557-565 [DOI] 10.1111/biom.12769. [PMID] 29073325.
2015
Integrative Data Analysis of Multi-Platform Cancer Data with a Multimodal Deep Learning Approach.
IEEE/ACM transactions on computational biology and bioinformatics. 12(4):928-37 [DOI] 10.1109/TCBB.2014.2377729. [PMID] 26357333.
The Causal Relationship Between Portal Usage and Self-Efficacious Health Information–Seeking Behaviors: Secondary Analysis of the Health Information National Trends Survey Data (Preprint)
. [DOI] 10.2196/preprints.17782.

Education

Ph.D. in Statistics
2018 · University of Wisconsin-Madison
B.S. in Mathematics and applied mathematics
2014 · Tsinghua University

Contact Details

Phones:
Business:
(352) 294-5935
Emails:
Addresses:
Business Mailing:
PO Box 117450
GAINESVILLE FL 32611
Business Street:
2004 Mowry Rd. 5th Floor
Gainesville FL 32603