Tao Zhang

Professor，

Department of Epidemiology and Statistics, School of Public Health

Tianjin Medical University

22 Qixiangtai Road

Tianjin 300070

Phone: +86-22-83336606

Email Address: taozhang@tmu.edu.cn

Education 

Postdoc, Epidemiology and Biostatistics, Shandong University, Jinan, China, 2014

Ph.D., Epidemiology and Biostatistics, Harbin Medical University, Heilongjiang, China, 2012

Bachelor of Public Health Management, Harbin Medical University, Heilongjiang, China, 2007

Professional Background 

2025-Present, Professor, Tianjin Medical University, Department of Epidemiology and Statistics, School of Public Health

2018-2025, Professor, Shandong University, Department of Biostatistics, School of Public Health

2017 - 2018, Associate Professor, Shandong University, Department of Biostatistics, School of Public Health

2015 - 2017, Biostatistician, Tulane University, Department of Epidemiology, School of Public Health and Tropical Medicine

2012 - 2016, Assistant Professor, Shandong University, Department of Epidemiology and Biostatistics, School of Public Health

Awards Received 

1.American Federation for Medical Research Meeting (New Orleans; Feb 18-20, 2016), Junior Faculty Research Travel Award, 2016

2.Best Student Paper Award in China Association for Biostatistics 2011 Annual Meeting, 2011

3.Outstanding doctoral dissertation of Harbin Medical University, 2012

Other Roles

1. Standing Committee Member, Biostatistics Youth Committee, Chinese Preventive Medical Association

2. Youth Council Member, The Chinese Branch of International Biometric Society (IBS)

3. Standing Committee Member, Drug Clinical Evaluation Research Committee, Traditional Chinese Medicine Association

4. Committee Member, Medicine and Health Systems Engineering Committee, Systems Engineering Society Of China

5. American Federation for Medical Research Member

Publications

[1]Lv J*, Pan C*, Cai Y*, Han X, Wang C, Ma J, Pang J, Xu F, Wu S, Kou T, Ren F, Zhu ZJ#, Zhang T#, Wang J#, Chen Y#. Plasma metabolomics reveals the shared and distinct metabolic disturbances associated with cardiovascular events in coronary artery disease. Nat Commun. 2024 Jul 8;15(1):5729.

[2]Li C*, You R*, Liu L, Li Y, Pu H, Lei M, Li Z, You D#, Xiong Q#, Zhang T#. Perioperative changing patterns and longitudinal trajectories of CA242 with colorectal cancer prognosis: a retrospective longitudinal cohort study. Science Bulletin. 2023;68(17):1875-1879. 

[3]Zhang T*, Fan B*, Li S, Wang X, Kong Y, Bazzano L, He J, Chen W, Yan Y#. Long-Term Adiposity and Midlife Carotid Intima-Media Thickness Are Linked Partly Through Intermediate Risk Factors. Hypertension. 2023 Jan;80(1):160-168. 

[4]Li C, Liu L, You R, Li Y, Pu H, Lei M, Fan B, Lv J, Liu M, Yan G, Li Z, You D, Zhang T. Trajectory patterns and cumulative burden of CEA during follow-up with non-small cell lung cancer outcomes: A retrospective longitudinal cohort study. Br J Cancer. 2024 May;130(11):1803-1808. 

[5]Li C, Zhao K, Zhang D, Pang X, Pu H, Lei M, Fan B, Lv J, You D, Li Z, Zhang T#. Prediction models of colorectal cancer prognosis incorporating perioperative longitudinal serum tumor markers: a retrospective longitudinal cohort study. BMC Med. 2023;21(1):63. 

[6]Che Z, Jia H, Chen R, Pan K, Fan Z, Su C, Wu Z, Zhang T. Associations between exposure to brominated flame retardants and metabolic syndrome and its components in U.S. adults. Sci Total Environ. 2022 Nov 3:159935.

[7]Yun M*, Li S*, Yan Y, Sun D, Guo Y, Fernandez C, Bazzano L, He J, Zhang T#, Chen, W. Blood Pressure and Left Ventricular Geometric Changes: A Directionality Analysis. Hypertension. 2021 Nov;78(5):1259-1266.

[8]Li C*, Zhang D*, Pang X*, Pu H, Lei M, Fan B, Lv J, You D#, Li Z#, Zhang T#. Trajectories of Perioperative Serum Tumor Markers and Colorectal Cancer Outcomes: A Retrospective, Multicenter Longitudinal Cohort Study. EBioMedicine. 2021 Nov 18;74:103706.

[9]Sun D*, Zhang T* (*co-first author), Su S*, Hao G, Chen T, Li Q-Z, Bazzano LA, He J, Wang X, Li S#, Chen W#. Body Mass Index Drives Changes in DNA Methylation: A Longitudinal Study. Circ Res. 2019;125(9):824-833.

[10]Gao X, Li S, Dong S, Li J, Yan Y, Zhang T# Chen W. Association between Body Weight and Telomere Length is Predominantly Mediated through C-Reactive Protein. J Clin Endocrinol Metab. 2021. 

[11]Zhang T, Jia H, Wu Z. Sex as a predictor of response to cancer immunotherapy. Lancet Oncol 2018;19:e374. 

[12]Zhang T, Li S, Bazzano L, He J, Whelton P, Chen W. Trajectories of Childhood Blood Pressure and Adult Left Ventricular Hypertrophy: the Bogalusa Heart Study. Hypertension, 2018 Jul;72(1):93-101. 

[13]Zhang H*, Zhang T* (*co-first author), Li S, Guo Y, Shen W, Fernandez C, Harville EW, Bazzano LA, Urbina EM, He J, Chen W. Long-term Excessive Body Weight and Adult Left Ventricular Hypertrophy Are Linked Through Later Life Body Size and Blood Pressure: The Bogalusa Heart Study. Circ Res. 2017 May 12;120(10):1614-1621. 

[14]Shen W*, Zhang T* (*co-first author), Li S, Zhang H, Xi B, Shen H, Fernandez C, Bazzano L, He J, Chen W. Race and Sex Differences of Long-Term Blood Pressure Profiles From Childhood and Adult Hypertension: The Bogalusa Heart Study. Hypertension. 2017, 70 (1):66-74. 

[15]Xi B*, Zhang T* (*co-first author), Li S, Harville E, Bazzano L, He J, Chen W, Can Pediatric Hypertension Criteria Be Simplified? A Prediction Analysis of Subclinical Cardiovascular Outcomes from the Bogalusa Heart Study. Hypertension, 2017 Apr;69(4):691-696. 

Grants

1. National Natural Science Foundation of China: Multidimensional longitudinal marker screening and dynamic prediction based on survival supervising function principal component analysis (82473730)， 2025.01-2028.12

2. National Natural Science Foundation of China: Life-course Longitudinal cohort analysis of cardiovascular disease (82222064)， 2023.01-2025.12

3. National Natural Science Foundation of China: Statistical Methodology of Functional Mixed Effects Model for Trajectory Analysis in Life-course Longitudinal Cohort (81973147)， 2020.01-2023.12

4. National Natural Science Foundation of China: The research on statistical analysis and causal inference for high-dimensional dynamic metabolomics data of esophageal cancer based on inverse probability weighting (81673271)， 2017.01-2020.12

5. National Natural Science Foundation of China: The research on metabolomics nested design and statistical method for multi-quantitative disease based on Bayesian variable selection (81302514), 2014.01-2016.01

6. National Key Research and Development Program of China: Application demonstration of dietary intervention and evaluation program for impaired function in the elderly (2022YFC2010100), 2022.07-2025.06

7. National Natural Science Foundation of China: The research on the screening model for Esophageal Squamous Cell Carcinoma in high-risk population based on metabolomic biomarkers (81573246), 2016.01-2019.01

8. Future program for young scholars of Shandong University: Longitudinal data analysis and causal inference in dynamic metabolomics of esophageal cancer (2017WLJH36), 2017.06-2022.06

9. Natural Science Foundation of Shandong Province, The research on metabolomics biomarker identification and its diagnostic model for diagnosis of ovarian cancer based on UPLC-QTOF/MS platform (ZR2013HQ056), 2014.01-2016.12

10. Postdoctoral fund in China: The research on metabolomics biomarker identification and its diagnostic model for early diagnosis of type 2 diabetes (2013M540557), 2013.08-2015.08