Dr. Jia is professor and chief physician of Department of Endocrinology & Metabolism of Shanghai Sixth People's Hospital, member of the Chinese Academy of Engineering, fellow of The World Academy of Sciences (TWAS), Director of Shanghai Diabetes Institute, and Director of Institute for Proactive Healthcare of Shanghai Jiao Tong University. Her research interests include identifying the susceptible genes of type 2 diabetes and its complications in Chinese Han population through genetic epidemiology studies; implementing epidemiology surveys on diabetes and its complications, and promoting integrated care with digital medicine; establishing the reference value of continuous glucose monitoring, and expanding its clinical applications; developing an early prediction model of nonalcoholic fatty liver disease with FGF21, and revealing its mechanism in the pathogenesis. She has published over 300 original articles in international journals, including Nat Med, Nat Biotechnol, Nat Metab, Nat Commun, BMJ, Lancet Diabetes Endocrinol, Diabetes, J Hepatol, Diabetes Care, etc.

• Professor of Shanghai Jiao Tong University
• Chief Physician of Department of Endocrinology & Metabolism, Shanghai Sixth People's Hospital
• Director of Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes
• Director of the Institute for Proactive Healthcare, Shanghai Jiao Tong University

1. Dai L#, Sheng B#*, Chen T#, Wu Q#, Liu R#, Cai C, Wu L, Yang D, Hamzah H, Liu Y, Wang X, Guan Z, Yu S, Li T, Tang Z, Ran A, Che H, Chen H, Zheng Y, Shu J, Huang S, Wu C, Lin S, Liu D, Li J, Wang Z, Meng Z, Shen J, Hou X, Deng C, Ruan L, Lu F, Chee M, Quek TC, Srinivasan R, Raman R, Sun X, Wang YX, Wu J, Jin H, Dai R, Shen D, Yang X, Guo M, Zhang C, Cheung CY, Tan GSW, Tham YC, Cheng CY, Li H#*, Wong TY*, Jia W*. A deep learning system for predicting time to progression of diabetic retinopathy. Nat Med. 2024, Jan 4. doi: 10.1038/s41591-023-02702-z.
2. Ni Y#, Qian L#, Siliceo SL#, Long X#, Nychas E, Liu Y, Ismaiah MJ, Leung H, Zhang L, Gao Q, Wu Q, Zhang Y, Jia X, Liu S, Yuan R, Zhou L, Wang X, Li Q, Zhao Y, El-Nezami H, Xu A, Xu G*, Li H*, Panagiotou G*, Jia W*. Resistant starch decreases intrahepatic triglycerides in patients with NAFLD via gut microbiome alterations. Cell Metab. 2023;35(9):1530-47.e8.
3. Chen S#, Lu J#, Peng D, Liu F, Lu W, Zhu W, Zhou J*, Jia W*. Effect of a Mobile Health Technology-Based Diabetes Education Program on Glucose Control in Patients With Type 2 Diabetes Initiating Premixed Insulin: A Prospective, Multicenter, Observational Study. Diabetes Care. 2023;46(1):e6-e7.
4. Hou X#, Wang L#, Zhu D, Guo L, Weng J, Zhang M, Zhou Z, Zou D, Ji Q, Guo X, Wu Q, Chen S, Yu R, Chen H, Huang Z, Zhang X, Wu J, Wu J*, Jia W*. Prevalence of diabetic retinopathy and vision-threatening diabetic retinopathy in adults with diabetes in China. Nat Commun. 2023;14(1):4296.
5. Ye X#, Yu R#, Jiang F#, Hou X*, Wei L, Bao Y, Jia W*. Osteocalcin and Risks of Incident Diabetes and Diabetic Kidney Disease: A 4.6-Year Prospective Cohort Study. Diabetes Care. 2022;45(4):830-6. 
6. Jia W#*, Zhang P#, Zhu D, Duolikun N, Li H, Bao Y, Li X. Evaluation of an mHealth-enabled hierarchical diabetes management intervention in primary care in China (ROADMAP): A cluster randomized trial. PLoS Med. 2021;18(9):e1003754.
7. Dai L#, Wu L#, Li H#, Cai C#, Wu Q#, Kong H, Liu R, Wang X, Hou X, Liu Y, Long X, Wen Y, Lu L, Shen Y, Chen Y, Shen D, Yang X, Zou H*, Sheng B*, Jia W*. A deep learning system for detecting diabetic retinopathy across the disease spectrum. Nat Commun. 2021;12(1):3242. 
8. Shen Y#, Fan X#, Zhang L#, Wang Y#, Li C, Lu J, Zha B, Wu Y, Chen X, Zhou J*, Jia W*. Thresholds of Glycemia and the Outcomes of COVID-19 Complicated With Diabetes: A Retrospective Exploratory Study Using Continuous Glucose Monitoring. Diabetes Care. 2021;44(4):976-82. 
9.  Huating Li#, Guangyu Wu#, Qichen Fang, Mingliang Zhang, Xiaoyan Hui, Bin Sheng, Liang Wu,Yuqian Bao, Peng Li, Aimin Xu*, Weiping Jia*. Fibroblast growth factor 21 increases insulin sensitivity through specific expansion of subcutaneous fat. Nat Commun. 2018;9:272.
10. Jingyi Lu#, Xiaojing Ma#, Jian Zhou*, Lei Zhang, Yifei Mo, Lingwen Ying, Wei Lu, Wei Zhu, Yuqian Bao, Vigersky RA, Jia W*. Association of time in range, as assessed by continuous glucose monitoring, with diabetic retinopathy in type 2 diabetes. Diabetes Care.2018; 41(11): 2370-2376. 

1. Weiping Jia, Bin Sheng, Huating Li, Ling Dai, 2021/12/14, FUNDUS IMAGE PROCESSING METHOD,COMPUTER APPARATUS, AND STORAGE MEDIUM，US 11,200,665 B2
2. Weiping Jia, Bin Sheng, Huating Li, SiyuanPan, Xuhong Hou, LiangWu, 2022/4/12, METHODS OF SEGMENTING AN ABDOMINAL IMAGE, COMPUTER APPARATUSES,AND STORAGE MEDIUMS, US 11,302,014 B2
3. Weiping Jia, Bin Sheng, Yaxin Shen, Huating Li, 2022/4/26, METHOD, COMPUTER DEVICE AND STORAGE MEDIUM OF FUNDUS OCULI IMAGE ANALYSIS, US 11 315,241 B2
4. Weiping Jia, Bin Sheng, Huating Li, Ling Dai, 2019/11/26, METHOD OF AUTOMATICALLY DETECTING MICROANEURYSM BASED ON MULTI-SIEVING CONVOLUTIONAL NEURAL NETWORK, US 10,489,909 B2

• Appointments: President of the Chinese Diabetes Society (2016-2019), Chief Editor of the Chinese Journal of Internal Medicine
• Awards: National Science and Technology Progress Award, Ministry of education Science and Technology Progress Award, Shanghai Science and Technology Progress Award, Xiaoren Pan Distinguished Research Award for Epidemiology of Diabetes in Asia, and Ho Leung Ho Lee Prize for Science and Technology