Tianhao Luo

About Me

I am a PhD student in Biomedical Informatics at Harvard Medical School, driven by the intersection of Artificial Intelligence and Biomedicine. My work focuses on developing multi-modal AI frameworks to decode complex biological systems and accelerate therapeutic discovery.

Previously, I graduated summa cum laude from the University of Pennsylvania with degrees in Statistics, Mathematics, and Computational Biology. Beyond research, I am a violinist of 13 years, an avid runner, and a co-founder of health-tech ventures.

Hobbies

Classical Music, Violin, Running

Education

Harvard Medical School, Harvard University

2025 - Present

PhD Student in Biomedical Informatics

Location: Boston, MA

University of Pennsylvania

2021 - 2025

Dual Degree in Wharton and College (Summa Cum Laude)

B.S. in Statistics, The Wharton School

B.A. in Pure Mathematics, Computational Biology, College of Arts & Sciences

Minors: Computer Science, Data Science

Honors: Beta Gamma Sigma Honors Society

GRE (General): 340/340

Research Experiences

Sept 2025 - Present

Generalizable Multi-Agent System for Spatial Proteomics

Dr. Kun-Hsing Yu, Dept. of Biomedical Informatics, Harvard University | Boston, MA

April 2025 – Aug 2025

Understanding Single-Cell Transcriptional Responses to Drug Perturbations

Dr. Pranav Rajpurkar, Dept. of Biomedical Informatics, Harvard University | Boston, MA

Sep 2022 – May 2025

Integrating Foundation Models to Rectify Batch Effects in Spatial Transcriptomics

Dr. Mingyao Li, Dept. of Biostatistics, University of Pennsylvania | Philadelphia, PA

Aug 2023 – May 2025

Exploring RNA Modification in A. Thaliana Using Nanopore Direct RNA Sequencing

Dr. Brian Gregory, Dept. of Biology, University of Pennsylvania | Philadelphia, PA

Jun 2023 - Aug 2023

REU at CSHL: Improving Interpretability of CNN for Single-Cell Chromatin Accessibility

Dr. Peter Koo, NSF-funded REU, Cold Spring Harbor Laboratory | Cold Spring Harbor, NY

May 2022 – Aug 2022

Automated Quantitative Trait Locus Analysis Using Auto-ML

Dr. Jason Moore, Dept. of Computational Biomedicine, Cedars-Sinai Medical Center | Los Angeles, CA

Professional Experiences

Machine Learning Fellow

Aug 2025 - Present

OpenAI | Remote

Advancing reproducibility standards for SOTA ML research by refining evaluation rubrics and delivering rigorous model assessments.

Summer VC Fellow, Life Science Sector

June 2025 – Aug 2025

LiquidMetal Ventures | Boston, MA

Conducting due diligence on AI-driven drug discovery startups and organizing expert salons at the Boston-Cambridge biotech hub.

Entrepreneurial Experiences

Co-Founder, MedPen

June 2025 – Present

A multimodal, HIPAA-compliant smart pen digitizing clinical notes for seamless Epic integration. Valued at $14M+.

Founder, MedJourney

July 2025 – Present

AI-powered voice-first companion for Alzheimer’s patients. AdventureX 1st Prize Winner.

Publications & Conferences

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). https://doi.org/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, Philadelphia, PA.

Luo, T., & Li, M. (2024). Integrating Foundation Models to Address Batch Effects in Spatial Transcriptomics Analysis.

[Poster] MidAtlantic Bioinformatics Conference, Philadelphia, PA.
[Poster] Harvard University Program in Quantitative Genomics Conference, Boston, MA.
[Oral Presentation] Rice University Gulf Coast Undergraduate Research Symposium, Houston, TX.

AI-driven Biomedicine Entrepreneur & PhD @ Harvard