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Chao Xu, Ph.D.
Biostatistics & Epidemiology

Chao Xu, Ph.D.

Associate Professor

Hudson College of Public Health
801 Northeast 13th Street, Room 321
Post Office Box 26901
Oklahoma City, Oklahoma 73104

(405) 271-2229, x48054

Chao-Xu@ou.edu

Dr. Chao Xu is an Associate Professor at the University of Oklahoma Health Sciences, a member of the Biostatistics and Research Design Shared Resource at the Stephenson Cancer Center, and a member of the Oklahoma Center for Geroscience and Healthy Brain Aging. He earned his Ph.D. in Biostatistics from Tulane University. His research interests include statistical genetics, genetic epidemiology, multi-omics, survey data analysis, and the application of artificial intelligence in these areas.

Education:

  • Ph.D., Biostatistics, Tulane University, 2018
  • M.S., Systems Engineering, University of Shanghai for Science and Technology, 2011
  • B.S., Management Information System, Jiangsu University of Science and Technology, 2008

Appointments:

  • Associate Professor, Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, 2025–present
  • Assistant Professor, Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, 2018–2025

Teaching:

  • BSE 5023 Computer Applications in Public Health
  • BSE 5663 Analysis of Frequency Data
  • BSE 6323 Molecular Genetic Epidemiology
  • BSE 6980 Research for Doctoral Dissertation

Clinical/Research Interests:

  • Statistical genetics
  • High-dimensional statistics
  • Bioinformatics
  • Genetic epidemiology
  • Research design and data analysis in neurology and cancer studies
  • Statistical methods for genetic study
  • Interaction between human microbiome and environment exposures

Select Publications:

Link to Dr. Xu's current publications

Select publications:

  1. Zhu M, Hwang J, Xu C. Meta-analysis identifies key genes and pathways implicated in Benzo[a]pyrene exposure response. Chemosphere. 2024 Sep;364:143121. PMID: 39154768; PMCID: PMC11424241.
  2. Jiang L*, Xu C*, Bai Y, Liu A, Gong Y, Wang YP, Deng HW. Autosurv: interpretable deep learning framework for cancer survival analysis incorporating clinical and multi-omics data. NPJ Precis Oncol. 2024 Jan 5;8(1):4. PMCID: PMC10770412. *co-first author
  3. Chen S*, Xu C*. Handling high-dimensional data with missing values by modern machine learning techniques. J Appl Stat. 2022 May 1;50(3):786-804. PMCID: PMC9930810. *co-first author
  4. Wang K-S*, Yu G*, Xu C*, Meng XH*, et al. Accurate Diagnosis of Colorectal Cancer Based on Histopathology Images Using Artificial Intelligence. BMC Medicine, 2021, 19(1): 76 *co-first author
  5. Liu M, Ren Y, Zhou Z, Yang J, Shi X, Cai Y, Arreola AX, Luo W, Fung KM, Xu C, Nipp RD, Bronze MS, Zheng L, Li YP, Houchen CW, Zhang Y, Li M. The crosstalk between macrophages and cancer cells potentiates pancreatic cancer cachexia. Cancer Cell. 2024 May 13;42(5):885-903.e4.