Lu Li
Email luli1[at]sas.upenn.edu
I am a fifth year PhD student in the Applied Math and Computational Science (AMCS) program at University of Pennsylvania, where I’m fortunate to be advised by Prof. Yong Chen. Previously, I received a B.A. in Mathematics (Honors) and Computer Science from Macalester College, where I was forturnate to work with Prof. Lori Ziegelmeier, Prof. Shilad Sen, and advised by Prof. Andrew Beveridge and Prof. Susan Fox.
My research focuses on real-world evidence (RWE) generation and evidence synthesis using real-world data (RWD), and machine learning for health.
News
| Jun 16, 2025 | I started my internship at Adobe Research. |
|---|---|
| Aug 23, 2021 | I started my PhD at UPenn. |
| May 28, 2017 | I graduated from Macalester College. |
Selected publications
* indicates equal contribution
Clinical Evidence Generation Using Real-world Data
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LATTE: A One-shot Lossless Algorithm for Federated Target Trial Emulation with Application to Alzheimer’s Disease and Related Dementia Drug Repurposing Using Decentralized Datathe Lancet Digital Health (Invited Revision) (Impact Factor: 24.1), Oct 2025Selected as lightning talk at OHDSI 2025 Symposium 🏆 -
Kidney Function Following COVID-19 in Children and AdolescentsJAMA Network Open (Impact Factor: 10.5), Apr 2025 -
COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare datanpj Digital Medicine (Impact Factor: 15.1), Apr 2025 -
Telemedicine Utilization Trajectories and Sociodemographic Differences, 2019-2024medRxiv, Apr 2025 -
Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithmnpj Digital Medicine (Impact Factor: 15.1), Apr 2025 -
ZIBGLMM: Zero-inflated bivariate generalized linear mixed model for meta-analysis with double-zero-event studiesResearch Synthesis Methods (Impact Factor 6.1), Apr 2025Selected as lightning talk at OHDSI 2023 Symposium 🏆 -
Advancing Interpretable Regression Analysis for Binary Data: A Novel Distributed Algorithm ApproachStatistics in Medicine, Apr 2024 -
Pediatric Gastrointestinal Tract Outcomes During the Postacute Phase of COVID-19JAMA Network Open (Impact Factor: 10.5), Feb 2025 -
Real-world effectiveness of BNT162b2 against infection and severe diseases in children and adolescentsAnnals of Internal Medicine (Impact Factor 15.3), Feb 2024 -
Risk of neuropsychiatric and related conditions associated with SARS-CoV-2 infection: a difference-in-differences analysisNature communications (Impact Factor: 15.7), Feb 2025 -
Body Mass Index and Postacute Sequelae of SARS-CoV-2 Infection in Children and Young AdultsJAMA network open (Impact Factor: 10.5), Feb 2024
AI / AI for Health
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Empowering Clinical Trial Design through AI: A Randomized Evaluation of PowerGPTarXiv preprint arXiv:2509.12471, 2025
Scientific Papers
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Develop and validate a computable phenotype for the identification of Alzheimer’s disease patients using electronic health record dataAlzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 2024 -
Association between risk of Alzheimer’s disease and related dementias and angiotensin receptor II blockers treatment for individuals with hypertension in high-volume claims dataEBioMedicine, 2024