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Harvard PhD · Founder · AI for Science

Tianhao
Luo

Building AI systems
to understand disease mechanisms and translate them into clinically actionable insights.

Boston, MA Harvard Biomedical AI Startup Founder
Tianhao Luo in a suit and University of Pennsylvania graduation stole, standing on Broad Street with Philadelphia City Hall behind him.
Currently
Training multi-modal foundation models @ Mahmood Lab Building a stealth AI startup in healthcare & precision medicine Scaling MedJourney with X-Lab Based in Boston · Open to collaborators Training multi-modal foundation models @ Mahmood Lab Building a stealth AI startup in healthcare & precision medicine Scaling MedJourney with X-Lab Based in Boston · Open to collaborators
Tianhao Luo in Paris, on the balustraded landing of an ornate gilded hall with marble columns, chandeliers, and painted ceilings.

At the intersection of
AI & biomedicine

I am a Harvard PhD student in Biomedical Informatics working at the frontier of AI for science and biomedical AI. I build multi-modal foundation models to understand disease mechanisms and translate them into clinically actionable insights.

I am also a founder of AI startups in biomedicine — MedJourney (Alzheimer's care) and a stealth AI startup in healthcare and precision medicine. 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.

Recent Updates Live

May 2026
Paper Accepted

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!

Apr 2026
Fellowship

Awarded the NSF Graduate Research Fellowship (GRFP) with a focus on AI for Life Sciences. Grateful to advisors, collaborators, and reviewers!

Apr 2026
New Role

Started a stealth AI startup at the intersection of AI, healthcare, and precision medicine — more details coming soon.

Mar 2026
New Role

Joined Dr. Faisal Mahmood's lab at Harvard Medical School / BWH to work on multi-modal foundation models for AI virtual patients.

Academic Foundation

Harvard University coat of arms: a crimson shield bearing three books lettered VE-RI-TAS. Harvard Medical School logo: a crimson shield beside the words Harvard Medical School.

Harvard Medical School

2025 — Present

PhD in Biomedical Informatics

Rotation advisors: Omar Abudayyeh & Jonathan Gootenberg, Kun-Hsing Yu, Faisal Mahmood

University of Pennsylvania logo: the Penn shield beside the wordmark Penn, University of Pennsylvania. The Wharton School logo: the Penn shield beside the wordmark Wharton, University of Pennsylvania.

University of Pennsylvania

2021 — 2025

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

Research Experiences

Selected experiences developing biomedical AI — multi-modal foundation models, virtual cells, and virtual patients — across Harvard, Penn, Cold Spring Harbor Laboratory, and Cedars-Sinai.

Mar 2026 –
Present

Multi-Modal Foundation Model for AI Virtual Patients

Dr. Faisal Mahmood · Harvard Medical School / BWH
Dec 2025 –
Mar 2026

AI Virtual Cell Using Generative Modeling

Drs. Omar Abudayyeh & Jonathan Gootenberg · Harvard Medical School
Sep 2025 –
Dec 2025

Generalizable Multi-Agent System for Spatial Proteomics

Dr. Kun-Hsing Yu · Harvard University
Apr 2025 –
Aug 2025

Understanding Single-Cell Transcriptional Responses to Drug Perturbations

Dr. Pranav Rajpurkar · Harvard University
Sep 2022 –
May 2025

Integrating Foundation Models to Rectify Batch Effects in Spatial Transcriptomics

Dr. Mingyao Li · University of Pennsylvania
Aug 2023 –
May 2025

RNA Modification in A. thaliana via Nanopore Direct RNA Sequencing

Dr. Brian Gregory · University of Pennsylvania
Jun 2023 –
Aug 2023

Improving Interpretability of CNNs for Single-Cell Chromatin Accessibility

Dr. Peter Koo · Cold Spring Harbor Laboratory (NSF REU)
May 2022 –
Aug 2022

Automated Quantitative Trait Locus Analysis Using Auto-ML

Dr. Jason Moore · Cedars-Sinai Medical Center

Professional Experience

Machine Learning Fellow
OpenAI
Aug 2025 — Present · Remote

Advancing reproducibility standards for state-of-the-art ML research through rigorous evaluation rubrics and model assessments.

OpenAI logo: the interlocking knot symbol beside the OpenAI wordmark.
AI Fellow
Pathcision Medicine
Nov 2025 — May 2026

Built AI models for protein binder design and binding affinity prediction, supporting structure-based therapeutic discovery.

Pathcision
Summer VC Fellow, Life Science
LiquidMetal Ventures
Jun 2025 — Aug 2025 · Boston, MA

Due diligence on AI-driven drug discovery startups; organizing expert salons at the Boston-Cambridge biotech hub.

LiquidMetal Ventures logo: a teal faceted cube beside the LiquidMetal Ventures wordmark.

Startups & Entrepreneurial Work

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.

MedJourney

Founder · Jul 2025 – Present

AI-powered voice-first companion for Alzheimer's patients. AdventureX 1st Prize winner; incubated by Tsinghua X-Lab with Meiling Scientist Fellowship.

Stealth AI Startup

Founder · 2026 – Present

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.

Selected Works

Yuan, M., Jin, K., Yan, H., Luo, T. et al. Designing Smart Spatial Omics Experiments with S2Omics. (2025) Accepted at Nature Cell Biology.
Freda, P.J., Ghosh, A., Luo, T., et al. Automated quantitative trait locus analysis (AutoQTL). BioData Mining 16, 14 (2023). doi:10.1186/s13040-023-00331-3
Luo, T. & Koo, P. Deciphering the Genetic Code behind Single-Cell Chromatin Accessibility: Interpreting scBasset (2023). [Poster] Research Exposition, University of Pennsylvania.
Luo, T. & Li, M. Integrating Foundation Models to Address Batch Effects in Spatial Transcriptomics Analysis (2024).
  • Poster at MidAtlantic Bioinformatics Conference
  • Poster at Harvard Quantitative Genomics Conference
  • Oral Presentation at Rice University Gulf Coast Symposium

Instruction

Let's connect

Open to research collaborations, startup conversations, and new connections.

Four photographs of Tianhao Luo playing the violin: holding his instrument outdoors, performing in a chamber ensemble, and two recital-hall performances.