Building multiscale world models
to understand disease mechanisms and translate them into clinically actionable insights.
I am a Harvard PhD student in Biomedical Informatics working at the frontier of AI for science and biomedical AI. My interests span AI for spatial omics, cells, and electronic health records — and, running through all of them, the idea of a multiscale world model that reasons from the molecular to the tissue to the patient scale.
I am also interested in entrepreneurship and in how biomedical AI actually reaches patients. Previously, I graduated summa cum laude from the University of Pennsylvania with triple degrees in Statistics (Wharton), Mathematics, and Computational Biology. Beyond the lab, I am a violinist of 13 years and an avid runner.
PATCH — our paper on uncertainty quantification for spatial proteomics — was accepted to the Agentic Uncertainty workshop at ICML 2026. Excited to share the work and meet folks in Seoul this July!
Awarded the NSF Graduate Research Fellowship (GRFP) with a focus on AI for Life Sciences. Grateful to advisors, collaborators, and reviewers!
Started a stealth AI startup at the intersection of AI, healthcare, and precision medicine — more details coming soon.
Joined Dr. Faisal Mahmood's lab at Harvard Medical School / BWH to work on multi-modal foundation models for AI virtual patients.
PhD in Biomedical Informatics
Bioinformatics & Integrative Genomics (BIG) Program
Thesis advisor: Faisal Mahmood
B.S. Statistics, The Wharton School
B.A. Mathematics & Computational Biology, College of Arts & Sciences
Summa Cum Laude · Beta Gamma Sigma
Minors in Computer Science & Data Science
Selected experiences developing biomedical AI — multi-modal foundation models, virtual cells, and virtual patients — across Harvard, Penn, Cold Spring Harbor Laboratory, and Cedars-Sinai.
Dr. Faisal Mahmood · Harvard Medical School / BWHNo publications listed from this project yet.
Drs. Omar Abudayyeh & Jonathan Gootenberg · Harvard Medical SchoolNo publications listed from this project yet.
Dr. Kun-Hsing Yu · Harvard University
Dr. Pranav Rajpurkar · Harvard UniversityNo publications listed from this project yet.
Dr. Mingyao Li · University of Pennsylvania
Dr. Brian Gregory · University of PennsylvaniaNo publications listed from this project yet.
Dr. Peter Koo · Cold Spring Harbor Laboratory (NSF REU)
Dr. Jason Moore · Cedars-Sinai Medical CenterNo projects under this theme.
Advancing reproducibility standards for state-of-the-art ML research through rigorous evaluation rubrics and model assessments.
Built AI models for protein binder design and binding affinity prediction, supporting structure-based therapeutic discovery.
Due diligence on AI-driven drug discovery startups; organizing expert salons at the Boston-Cambridge biotech hub.
As a Harvard PhD student and founder, I build AI startups at the intersection of biomedicine and science — applying generative models and foundation models to real human-health problems.
AI-powered voice-first companion for Alzheimer's patients. AdventureX 1st Prize winner; Meiling Scientist Fellowship.
Applying generative models and foundation models to healthcare and precision medicine — turning biological data into therapies and decisions tailored to the individual patient. More details coming soon.
Department of Statistics, The Wharton School, University of Pennsylvania.
Open to research collaborations, startup conversations, and new connections.
