Tong LabDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health The Tong Lab develops statistical methods that turn real-world health data into reliable clinical evidence. We design privacy-preserving distributed algorithms that combine data across hospitals and research networks without sharing patient-level records, methods that reduce bias from error-prone electronic health record (EHR) data, and approaches for more timely and reliable evidence synthesis. Led by Jiayi (Jessie) Tong / Email / GitHub |
News
- Welcome Abhisek Chakraborty, who joined the lab as a postdoctoral fellow, co-advised with Aki Nishimura! We’re so glad to have you.
- Congratulations to Fernanda Montoya on receiving the FDA-OCE-ASA Oncology Educational Fellowship!
- Congratulations to Yicheng Shen on winning the NERDS Student Paper Award!
- Congratulations to Yicheng Shen on receiving the ICSA Student Paper Award at the 2026 ICSA Applied Statistics Symposium!
- Yicheng Shen’s first-author paper on PEAL, a lossless one-shot federated learning method for longitudinal EHR data, was published in npj Digital Medicine.
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- Xing Xing’s first-author paper on trial design–aware funnel plots was published in the Journal of Clinical Epidemiology.
- Congratulations to Yicheng Shen on receiving the PHAISE AI Research Day Student Award at Johns Hopkins University!
- Xindi Shan completed the ScM thesis “Federated Bayesian Linear Mixed Models for Privacy-Preserving Multi-site EHR Analysis.”
- Xing Xing’s first-author paper on assessing the fragility of survival analysis results was published in the American Journal of Epidemiology.
- Xing Xing’s first-author paper evaluating large language models for detecting publication bias was published in Cochrane Evidence Synthesis and Methods.
Research & Collaborations
Better evidence needs more than one hospital. We partner with clinicians and research networks to learn from patients across many institutions — safely and at scale.
Johns Hopkins Scleroderma Center
Scleroderma · Disease progression · Longitudinal data
Johns Hopkins inHealth
Precision medicine · Individualized risk prediction
Biomedical Informatics & Data Science, Johns Hopkins
Clinical data · Multi-site network studies
Pulmonary & Critical Care Medicine, Johns Hopkins
Acute respiratory failure · Mechanical ventilation · CLIF consortium
Cardiac & Vascular Surgery, Johns Hopkins
CABG surgery · Hospital performance
Johns Hopkins School of Nursing
Obesity · GLP-1 medications · Sex differences
OHDSI
COVID-19 · International observational data
Cancer AI Alliance
Glioma · IDH inhibitor therapy · U.S. cancer centers
People
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