معرفی
Jiayi (Jessie) Tong, PhD is an Assistant Professor in the Department of Biostatistics at Johns Hopkins University, with joint appointments in the Bloomberg School of Public Health and School of Medicine. She received her PhD from the University of Pennsylvania in 2024 and has rapidly established herself as a leading researcher in biostatistical methods for real-world data analysis.
Dr. Tong's research program focuses on clinical evidence generation and evidence synthesis with real-world data (RWD). Her work spans three main areas: clinical evidence generation using data from distributed research networks, surrogate-assisted semi-supervised learning methods, and systematic reviews and meta-analyses. She has developed innovative statistical methodologies for analyzing electronic health records across multiple institutions while preserving patient privacy through distributed computing approaches. Her research has significant implications for improving evidence generation in healthcare, particularly for rare conditions and emerging health threats where traditional clinical trials may be impractical.
Analysis of Dr. Tong's publication record reveals a strong emphasis on methodological innovation in biostatistics, particularly in the areas of federated learning, meta-analysis, and electronic health record analysis. Her work frequently addresses challenges in multi-site collaborative studies, developing one-shot algorithms that enable analysis without sharing patient-level data. Much of her recent research has focused on applications to SARS-CoV-2 infection and its sequelae, demonstrating the practical utility of her methodological contributions to pressing public health challenges.
Dr. Tong has demonstrated exceptional productivity since completing her PhD in 2024, with numerous high-impact publications in top biostatistics and medical journals. Her work has been recognized through mentions on various platforms including Mendeley readership and blog coverage.
As a new faculty member, Dr. Tong is actively building her research program and mentoring the next generation of biostatisticians. Her expertise in distributed analysis of healthcare data positions her at the forefront of methodological developments needed to address contemporary challenges in evidence generation.
