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Personal profile

Personal profile

Dr. Tenglong Li is an applied statistician who has extensive experience in epidemiological, biomedical and social science research. His main research interest includes Tuberculosis, COVID-19, batch effects in genomic data and infectious disease modeling. His methodological work focuses on Bayesian inference, causal inference and statistical computation. He teaches courses such as Advanced Methods in Biostatistics and Statistical Computing with SAS. He also has collaborated with educational, sociological and psychological researchers as a statistical consultant during his career. Dr. Tenglong Li obtained his Ph.D. degree in Measurement Quantitative Methods and a Master degree in Statistics from Michigan State University. He completed his postdoctoral training at Boston University (in the department of biostatistics and department of computational biomedicine). He was also a lecturer and faculty affiliate at Northeastern University, teaching courses for the graduate programs in Analytics and Commerce and Economics Development. Contact Info: PB 246 Public Building Xian Jiaotong-Liverpool UniversityPhone: 0512-85186479Email:

Research interests

Methodologies: Bayesian Inference, Causal Inference, Statistical Computation, Bayesian Networks, Machine Learning

Applications: Tuberculosis, Batch Effects, COVID-19, Epidemiology Infectious Disease Modeling, Psychometrics


Assistant Professor, Xian Jiaotong-Liverpool University, 2021-Current

Lecturer Faculty Affiliate, Northeastern University, U.S., 2018-2021

Postdoctoral Associate, Boston University, U.S., 2018-2021


APH 421: Analysis of Longitudinal Data

APH 417: Statistical Computing using SAS

APH 413: Advanced Methods in Biostatistics

APH 201: SAS for Data Analysis

APH 210: Applied Regression Analysis

Courses taught in Northeastern University: ALY 6010: Probability Theory and Introductory Statistics (2018 Fall I), ALY 6015: Intermediate Analytics (2018 Fall II, 2019 Winter I, 2019 Winter II, 2019 Spring I, 2019 Spring II, 2019 Fall II, 2020 Winter I, 2020 Winter II, 2020 Spring II, 2020 Summer, 2020 Fall II), CED 6030: Mathematical Methods for Economists I (2018 Fall I, 2019 Fall I, 2020 Spring I).

Lectures taught in Michigan State University: CEP 932: Quantitative Methods in Educational Research I (2015 Fall, 2016 Fall), CEP 933: Quantitative Methods in Educational Research II (2015 Spring, 2016 Spring, 2016 Summer), CEP 934: Multivariate Data Analysis I (2013 Fall and 2014 Fall), CEP 935: Advanced Multivariate Data Analysis II (2014 Fall) and CEP 938: Latent Variable and Structural Equation Modeling (2016 Spring).

Awards and honours

2022 Jiangsu Innovation Entrepreneurship PHD (World Famous Universities)

Personal profile

  • Reviewer for Scientific Reports, Journal of Educational and Behavioral Statistics, American Journal of Epidemiology, PLOS ONE, Psychological Assessment, Epidemics, BMC Genomics, BMC Bioinformatics, Quality & Quantity, PeerJ, Journal of Inverse and Ill-Posed Problems, Journal of Community Medicine and Public Health, Archives of Epidemiology, International Journal of Quantitative Research in Education, Journal of Health Economics and Outcomes Research, American Journal of Health Behavior.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 13 - Climate Action

Education/Academic qualification

B.A., Huazhong University of Science & Technology, June 2010

M.S., Michigan State University, May 2012

Ph.D., Michigan State University, Jan 2018

Person Types

  • Staff


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Collaborations and top research areas from the last five years

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