Qianru WANG
Associate professor
Email : qrwang@sjtu.edu.cn
Office address : 800 Dongchuan Rd, Shanghai Jiao Tong University (Minhang Campus), Wenxuan Building 112A
Qianru WANG
Associate professor
Email : qrwang@sjtu.edu.cn
Office address : 800 Dongchuan Rd, Shanghai Jiao Tong University (Minhang Campus), Wenxuan Building 112A
Dr. Qianru Wang joined the School of Biomedical Engineering at SJTU as an Associate Professor in January 2026. She received her M.S. (2014) and Ph.D. (2018) in Mechanical Engineering from Massachusetts Institute of Technology (MIT), followed by postdoctoral training in Cardiovascular Medicine (2019-2025) with Prof. Euan Ashley at Stanford University. Her research lies at the intersection of AI-powered cardiovascular genomic analysis and high-throughput microfluidics for single-cell phenomics. She is passionate about building reliable machine learning tools and functional validation platforms to decipher the genetic architecture underlying cardiac disease and complex human traits. Her work has been published in leading journals such as Nat. Cardiovasc. Res., Sci. Adv., Nat. Rev. Cardiol., and Circulation. Dr. Wang has led projects funded by the American Heart Association (AHA) Young Investigator Grant and the NSFC Excellent Young Scientists Fund (Overseas). Her research has been featured by 20+ major international media outlets, including Forbes, MIT News, and Stanford News.
We are actively recruiting research assistants, postdocs, and PhD students for Fall 2026. Young talents interested in AI for bioinformatics and microfluidic single-cell technologies are encouraged to apply by sending their CV to Dr. Wang at qrwang@sjtu.edu.cn.
2014 - 2018 Ph.D., Massachusetts Institute of Technology (MIT), Mechanical Engineering
2012 - 2014 M.S., Massachusetts Institute of Technology (MIT), Mechanical Engineering
2008 - 2012 B.S., Shanghai Jiao Tong University, Mechanical Engineering and Automation
2026 - Present, Shanghai Jiao Tong University, School of Biomedical Engineering, Associate Professor
2019 - 2025, Stanford University, School of Medicine, Postdoctoral Scholar
2018 - 2019, Massachusetts Institute of Technology (MIT), Department of Mechanical Engineering, Postdoctoral Associate
AI-driven cardiovascular genomic analysis and risk prediction, microfluidic single-cell phenomics, iPSC-based precision medicine
1. Wang Q*, Tang TM*, Youlton M, et al. Epistasis regulates genetic control of cardiac hypertrophy[J], Nature Cardiovascular Research, 2025, 4: 740–760.
Stanford News:https://med.stanford.edu/news/insights/2026/01/behind-the-science-epistasis-heart-disease-genes.html
2. Wang Q, Jones III A-AD, Gralnick J, et al. Microfluidic dielectrophoresis illuminates the relationship between microbial cell envelope polarizability and electrochemical activity[J], Science Advances, 2019, 5(1): eaat5664.
MIT News: https://news.mit.edu/2019/identifying-electricity-producing-bacteria-0111
Forbes News: https://www.forbes.com/sites/jeffkart/2019/01/25/new-technique-could-put-electricity-producing-bacteria-to-work/?sh=1e2b28df3295
3. Wang Q*, Kim H*, Halvorsen TM, et al. Leveraging microfluidic dielectrophoresis to distinguish compositional variations of lipopolysaccharide in E. coli[J], Frontiers in Bioengineering and Biotechnology, 2023, 11: 991784.
4. Wang Q, Dingari NN, and Buie CR. Nonlinear electrokinetic effects in insulator-based dielectrophoretic systems[J], Electrophoresis, 2017, 38(20): 2576-2586.
5. Wang Q, Tang TM, Youlton M, Weldy CS, Kenney AM, Ronen O, et al. Deciphering epistatic genetic regulation of cardiac hypertrophy[J], medRxiv, 2025. Doi: https://doi.org/10.1101/2023.11.06.23297858