Scholar
Jiayi Tong
Google Scholar ID: 47w-myYAAAAJ
Assistant Professor, Department of Biostatistics, Johns Hopkins University
Citations & Impact
Citations
843
H-index
15
i10-index
22
Publications
20
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- Recipient of the 2023 OHDSI Titan Award for Methodological Research; 2023 Health Policy Statistics Section of American Statistical Association (ASA) Student Paper Award; 2023 Best Student Poster Award of the 2023 Annual DBEI & CCEB Research Day; 2022 American Statistical Association (ASA) Philadelphia Chapter Exceptional Achievement Award for Graduate Students; 2022 Graduate Group in Epidemiology and Biostatistics Student Teaching Award; 2021 Award for Outstanding Data Science Communication and Innovation at OptumLabs UnitedHealth Group; 2017 Department Honors in Mathematics (Applied) with High Distinction at the University of California, San Diego; 2017 Honor society Phi Beta Kappa at the University of California, San Diego; 2015-2017 Provost’s Honors at the University of California, San Diego. Published several academic papers, including 'A new end-to-end data aggregation approach', 'Real-world Effectiveness of BNT162b2 Against Infection and Severe Diseases in Children and Adolescents', 'On the proportional likelihood ratio model for sparse data', and 'Evaluating Site-of-Care-Related Racial Disparities in Kidney Graft Failure Using a Novel Federated Learning Framework'.
Research Experience
- Conducted extensive research in multiple areas, such as clinical evidence generation using real-world data, semi-supervised learning, systematic reviews, and meta-analyses. Involved in numerous studies on opioid use disorder, dementia and other aging conditions, acute myocardial infarction, pediatric conditions, mental health disorders, long-COVID, hematology, vaccine effectiveness, health disparity and fairness, and health policy.
Education
- Received a B.S. with High Honors in Applied Mathematics from the University of California, San Diego in 2017. Completed a Ph.D. in the Department of Biostatistics, Epidemiology and Informatics at the Perelman School of Medicine at the University of Pennsylvania, where she was advised by Dr. Yong Chen.
Background
- Currently an assistant professor in the Department of Biostatistics at Johns Hopkins University. Research interests include clinical evidence generation and evidence synthesis with real-world data, specifically: clinical evidence generation using data from distributed research networks, semi-supervised learning, systematic reviews, and meta-analyses. Passionate about collaborative research in various fields such as opioid use disorder, dementia and other aging conditions, acute myocardial infarction, pediatric conditions, mental health disorders, long-COVID, hematology, vaccine effectiveness, health disparity and fairness, and health policy.
Miscellany
- Contact information includes email, CV, Google Scholar, Twitter, and GitHub.
