Wentao (Winston) Li


E760-2, 7th fl 7000 Fannin St Suite 600 Houston, Texas

WELCOME to my webpage! :wave:

Success is not final, failure is not fatal: it is the courage to continue that counts.” — Winston Churchill, 1946

My name is Wentao (文韬 in Chinese), and I go with Winston. I am currently a PhD candidate and research assistant in the School of Biomedical Informatics at University of Texas Health Science Center at Houston (UTHealth).

Up to date, there are over 380 million healthcare records breached, and for the value per stolen healthcare record is an average of $363. Hence it is an urgent to protect the healthcare data from being hacked, while maintaining the data utility. My research interests are privacy-preserving machine learning, Genomewide Association Studies (GWASs), and medical imaging. I have developed several privacy-preserving GWAS algorithms with federated leraning, secure multi-party computation, homomorphic encryption, and differential privacy. I am also interested in exploring medical imaging research, with the aim of integrating it into my existing research. Further details can be found in my current and previous projects.

Before pursuing my PhD, I obtained an MSc in Statistics from the University of California, San Diego, and a BSc in Mathematics from Shanghai Maritime University. For more details about my qualifications and experiences, please refer to my CV.

  • A useful coding cheatsheet HERE


Oct 16, 2023 Start a new career at UT MD Anderson Cancer Center!
Apr 1, 2023 Good Morning!
Mar 20, 2023 Churchill... I miss you forever...
Feb 5, 2023 Meet Lucky!
Jan 10, 2023 Passed the PhD Qualifying Exam!

selected publications

  1. A tutorial on calibration measurements and calibration models for clinical prediction models
    Yingxiang Huang, Wentao Li, Fima Macheret, and 2 more authors
    Journal of the American Medical Informatics Association, Feb 2020
  2. Federated learning algorithms for generalized mixed-effects model (GLMM) on horizontally partitioned data from distributed sources
    Wentao Li, Jiayi Tong, Md. Monowar Anjum, and 3 more authors
    BMC Medical Informatics and Decision Making, Oct 2022
  3. Federated generalized linear mixed models for collaborative genome-wide association studies
    Wentao Li, Han Chen, Xiaoqian Jiang, and 1 more author
    Iscience, Oct 2023
  4. VERTIcal Grid lOgistic regression with Confidence Intervals (VERTIGO-CI)
    Jihoon Kim, Wentao Li, Tyler Bath, and 2 more authors
    AMIA Summits Transl. Sci. Proc., May 2021
  5. COLLAGENE enables privacy-aware federated and collaborative genomic data analysis
    Wentao Li, Miran Kim, Kai Zhang, and 3 more authors
    Genome Biology, Sep 2023