Wei Jiang, Ph.D.
Assistant Professor
Department of Mathematics
Division of Data Science (Core Member)
Center for Innovation in Health Informatics (Affiliated)
University of Texas at Arlington
Please find my CV at here

I am a tenure-track Assistant Professor in the Department of Mathematics at the University of Texas at Arlington (UTA). I am also the core member of the Division of Data Science and affiliated with the Center of Innovation for Health Informatics. Prior to joining UTA, I was a faculty at Yale University as an associate research scientist of biostatistics. I received my PhD in Electronics and Computer Engineering from HKUST, and BEng in Automation from Tsinghua University with minors in mathematics and physics.

As a data scientist, my research focuses on developing dependable and scalable data science modeling methods by integrating statistical, machine learning, informatic and computational theories, with applications in biomedical research. In the long term, I intend to develop a multi-omics data analysis framework to model the molecular regulatory mechanisms of complex traits, so that we can precisely control our health outcomes from different molecular signals. Along this line, I developed multiple methods on multi-omics data to explore the molecular mechanisms of biological traits, especially human diseases. My first-authored research works have been published in Nature Communications, American Journal of Human Genetics etc., and the paper exploring replicability of genomic discovery received the Best Paper Award in the 14th Asia Pacific Bioinformatics Conference held in San Francisco.

Education

Ph.D. in Electronic and Computer Engineering, Hong Kong University of Science and Technology (HKUST)
Feb 2012-Jan 2017

Thesis title: Statistical issues in genome-wide association studies

Visiting PhD student in Biostatistics, Yale University
Jun 2016-Aug 2016

Center for Statistical Genomics and Proteomics

B.Eng. in Automation, Tsinghua University
Sep 2007-Jul 2011

Thesis title: Disease modelling and data simulation in genome-wide rare variant association studies

Minor in Mathematics, Tsinghua University
Sep 2007-Sep 2010

Minor in Physics, Tsinghua University
Sep 2007-Sep 2010

Academic Experience

Assistant Profossor, Department of Mathematics / Division of Data Science (Core Member) / Center for Innovation in Health Informatics (Affiliated), UTA
Jul 2024-Present

Faculty / Associate Research Scientist, Biostatistics, Yale
Jul 2021-Jun 2024

Researcher, VA Connecticut Healthcare System, Department of Veterans Affairs
Jul 2020-Jun 2024

Postdoctoral Research Associate, Biostatistics, Yale
Jul 2018-Jun 2021

Research Associate, Electronic and Computer Engineering, HKUST
Feb 2017-Jun 2018

Research Assistant, Electronic and Computer Engineering, HKUST
Sep 2015-Jan 2017

Research Assistant, Automation, Tsinghua
Sep 2011-Dec 2011

Other Working Experience

Software Developer Intern, IBM China Development Center
Oct 2010-Dec 2010

Add-on Developer Intern, Beijing Mozilla Online Ltd.
Sep 2010-Dec 2010

PHP Programmer Trainee, SINA Web College
Sep 2009-Jun 2010

Selected Publications

(*) Contributed equally to this paper

  1. Jiang, W., Chen, L., Girgenti, M., and Zhao, H. (2023). Tuning parameters for polygenic risk score methods using GWAS summary statistics from training data. Nature Communications, 15, 24. doi:10.1038/s41467-023-44009-0
  2. Song, S. (*), Jiang, W. (*), Zhang, Y., Hou, L. and Zhao, H. (2022). Leveraging LD eigenvalue regression to improve the estimation of SNP heritability and confounding inflation. The American Journal of Human Genetics, 109(5), pp.802-811. doi:10.1016/j.ajhg.2022.03.013
  3. Jiang, J., Jiang, W., Paul, D., Zhang, Y. and Zhao, H. (2022). High-dimensional asymptotic behavior of inference based on GWAS summary statistics. Statistica Sinica, 33, pp.1555-1576. doi:10.5705/ss.202021.0060 (# Alphabetical order)
  4. Jiang, W., Xue, J.-H., and Yu, W. (2017). What is the probability of replicating a statistically significant association in genome-wide association studies? Briefings in Bioinfromatics, 18(6), 928--939, also highlighted in the 11th International Conference on Systems Biology (ISB 2017), Shenzhen, China. doi:10.1093/bib/bbw091
  5. Jiang, W., and Yu, W. (2016). Power estimation and sample size determination for replication studies of genome-wide association studies. BMC Genomics, 17(Suppl 1), 3, also presented in the 14th Asia Pacific Bioinformatics Conference (APBC 2016), San Francisco, US (Best Paper Award). doi:10.1186/s12864-015-2296-4