Projects per year
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.
He is currently the Program Director of BSc Biomedical Statistics.
Address: Room PB246 Public Building, Xian Jiaotong-Liverpool University.
Phone: 0512-85186479
Email: Tenglong.Li@xjtlu.edu.cn
Research interests
Methodologies: Bayesian Inference, Causal Inference, Machine Learning
Applications: Tuberculosis, Batch Effects, COVID-19, Infectious Disease Modeling, Psychometrics.
Experience
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
Teaching
APH 421: Analysis of Longitudinal Data
APH 417: Statistical Computing using SAS
APH 413: Advanced Methods in Biostatistics
APH 318: AI in Healthcare
APH 201: SAS for Data Analysis
APH 210: Applied Regression Analysis
APH 301: Final Year Project
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, Epidemics, BMC Genomics, BMC Bioinformatics, Psychological Assessment, Quality & Quantity, Methodology, 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, Health Science Reports.
- Member of Scientific Committee of Jiangsu Anti-TB Association
- Member of the Editorial Board for the journal "Jiangsu Preventive Medicine".
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):
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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- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Single-Molecule Single-Cell Imaging and Analysis Innovation Platform
Ruan, G. (PI), Zhang, X. (Team member), Wang, Y. (Team member), Zhou, Z. (Team member), Zhang, J. (Team member), Ding, D. (Team member), Ling, C. (Team member), Wu, Q. (Team member), Xu, P. (Team member), Ho, J. (Team member), Cheng, K. (Team member), Song, J. (Team member), Guo, B. (Team member), Wu, S. (Team member), Wang, J. (Team member), Sun, Y. (Team member), Lu, T. (Team member), Li, T. (Team member), Xu, Y. (Team member), Huang, D. (Team member), Cao, S. (Team member), Leng, J. (Team member) & Wen, X. (Team member)
1/10/24 → 30/09/26
Project: Governmental Research Project
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Jiangsu Province Higher Education Key Laboratory of Cell Therapy Nanoformulation (Construction)
Ruan, G. (PI), Lee, M. H. (Team member), Wu, Q. (Team member), Lu, T. (Team member), Xu, P. (Team member), Loo, S. (Team member), Sun, Y. (Team member), Kam, A. (Team member), Liu, X. (Team member), Wen, X. (Team member), Zhang, J. (Team member), Wang, M. (Team member), Xu, M. (Team member), Cheng, K. (Team member), Zhang, X. (Team member), Song, J. (Team member), Guo, B. (Team member), Wang, Y. (Team member), Wang, J. (Team member), Wu, S. (Team member), Yang, J. (Team member), Fu, L. (Team member), Zhang, J. (Team member), Qiao, Y. (Team member), Chen, Y. (Team member), Li, T. (Team member), Zhan, T. (Team member), Wan, Y. (Team member), He, Z. (Team member), Cheng, Y. (Team member), Leng, J. (Team member), Qi, M. (Team member), Ho, J. (Team member), Sun, Y. (Team member), Zhang, N. (Team member), Soe, H. M. S. H. (Team member), Ling, C. (Team member), Zhou, H. (Team member), Huang, D. (Team member) & Gu, J. (Team member)
1/07/24 → 30/06/27
Project: Governmental Research Project
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The impact of community controls on the inference of Mycobacterium tuberculosis transmission based on a household contact study
Li, T. (PI)
1/03/22 → 28/02/25
Project: Internal Research Project
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Suzhou Municipal Key Lab for Metabolic Syndrome Drug Research
Meng, J. (PI), Meng, W. (Team member), Jiang, X. (Team member), Wei, Z. (Team member), Li, T. (Team member), Liu, X. (Team member), Su, J. (Team member), Yue, C. (Team member), Douroudis, K. (Team member), Kappes, F. (Team member), Park, J. (Team member), Wang, M. (Team member), Rong, R. (Team member), Raju, S. (Team member), Huang, X. (Team member), Kadowaki, T. (Team member), OConnor, D. (Team member), Lu, Z. (Team member), Feng, Q. (Team member), Yi, Y. (Team member), Chen, Y. (Team member), Jiang, B. (Team member), Yuan, X. (Team member), Cui, J. (Team member), Meng, S. (Team member), Smith, G. (Team member), Loh, B. (Team member) & 李荪 (Team member)
1/01/22 → 31/12/23
Project: Governmental Research Project
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Extreme heat exacerbates atmospheric ozone pollution: Holistic data-based causal investigation in China
Xia, R., Qi, Q., Yang, J., Li, B., Li, Y., Morse, A. P., Li, T. & Mu, Q., 20 Mar 2026, In: iScience. 29, 3, 114854.Research output: Contribution to journal › Article › peer-review
Open Access -
TB-DeepSeek-Agent: A Large Language Model for Tuberculosis Incidence Prediction with Web-Based Automatic Report
Chen, M., Lu, Y. & Li, T., 3 Jan 2026, Proceedings of 2025 Chinese Intelligent Automation Conference. CIAC 2025. Lecture Notes in Electrical Engineering. Liu, H. & Guo, D. (eds.). Springer Singapore, Vol. 1503.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open Access -
Accelerating Cough-Based Algorithms for Pulmonary Tuberculosis Screening: Results From the CODA TB DREAM Challenge
behalf of the Cough Diagnostic Algorithm for Tuberculosis (CODA TB) DREAM Challenge Consortium, Oct 2025, In: Open Forum Infectious Diseases. 12, 10, ofaf572.Research output: Contribution to journal › Article › peer-review
Open Access -
An investigation into the impact of temporality on COVID-19 infection and mortality predictions: New perspective based on Shapley values
Chen, M., Qian, Q., Pan, X. & Li, T., 24 Apr 2025, In: BMC Medical Research Methodology. 25, 111.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening
Lu, Z., Li, Y., Tang, F., Jiang, Z., Li, C., Zhou, M., Li, T. & Su, J., Nov 2025, (Accepted/In press) Proceeding of 40th Annual AAAI Conference on Artificial Intelligence. AAAI pressResearch output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Impact of heatwave on ozone pollution: A causal inference approach
Mu, Q. (Supervisor) & Li, T. (Co-supervisor)
1 Mar 2024 → 1 Mar 2025Activity: Supervision › Master Dissertation Supervision
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Psychological Assessment (Journal)
Li, T. (Reviewer)
20 Jul 2023Activity: Peer-review and editorial work of publications › Publication Peer-review
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Exploration of Human settlements Development in Suzhou
Lin, Q. (Supervisor) & Li, T. (Supervisor)
1 Jun 2023 → 15 Jan 2024Activity: Supervision › Master Dissertation Supervision
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Construction of an indicator system for human settlement quality and comprehensive evaluation of various regions in Suzhou
Lin, Q. (Supervisor) & Li, T. (Supervisor)
1 Jun 2023 → 15 Jan 2024Activity: Supervision › Master Dissertation Supervision