Andrew J Yang

Medical Student & Computational Researcher

The Warren Alpert Medical School of Brown University

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About

I am a second-year medical student at The Warren Alpert Medical School. Previously, I studied computer science and applied math at Brown. I am passionate about biomedical data science.

My research focuses on developing computational methods for biomedical discovery. I am currently researching AI agents for information retrieval and research acceleration as well as ML methods for spatial transcriptomics data analysis.

Clinically, I am interested in oncology and surgery; I contribute to clinical and translational research in oncology and across surgical fields.

News

Oct 2026 Our spatial gene set analysis method, GESSO, has been published in Nature Communications!
Jun 2026 I presented my work on clinical trial complexity at the 2026 ASCO Annual Meeting!
Feb 2026 Our agentic data analysis method has been published in npj Artificial Intelligence!
Jun 2025 I received the New England Statistics Symposium Student Poster Award!

Highlighted Works

Method

Interpretable and scalable spatial gene set activity analysis with GESSO uncovers functional tissue architecture

Yang AJ*, Tan C*, Ma Y

Nature Communications, 2026. doi:10.1038/s41467-026-78316-z

Method

Tool-wielding language model-based agent offers conversational clinical data exploration

Yang AJ, Woo JJ, Zhang R, Mach A, Ramkumar PN, Ma Y

npj Artificial Intelligence, 2026. doi:10.1038/s44387-025-00070-2

Method

HemOncAgent: an artificial intelligence system for retrieving structured and narrative oncology knowledge

Yang AJ, Zaki HA, Seto A, Kim T, Riaz IB, Srisuwananukorn A, Cowan AJ, Yang PC, Warner JL

Preprint at medRxiv, 2026. doi:10.64898/2026.09.09.26362651

Clinical Research

Rotational variability in arthritic knee morphometry predominantly arises from the hip and may warrant preoperative consideration prior to total knee arthroplasty

Yang AJ, Woo JJ, Polisetty TS, Saboo YS, Ramkumar PN

Arthroplasty Today, 2026. doi:10.1016/j.artd.2026.101967

Commentary

Shifting from redundancy to rigor in orthopaedic large language model research

Yang AJ, Woo JJ, Ramkumar PN

Arthroscopy, 2025. doi:10.1016/j.arthro.2025.06.020

* denotes equal contribution

Education

The Warren Alpert Medical School of Brown University 2025 – Present

M.D. Student

Brown University 2021 – 2025

Sc.B. in Applied Mathematics and Computer Science; A.B. in Biology

Magna cum laude with departmental honors in applied mathematics and computer science

Research Experience

Memorial Sloan Kettering Cancer Center 2026 – Present

Research Fellow

Analyzed prostate and bladder cancer transcriptomics datasets. Also developed AI agents for clinical data abstraction at scale.

Brown University 2023 – Present

Student Researcher

Developed AI/ML methods for spatial transcriptomics and health informatics. Also worked on miscellaneous clinical research projects across surgical specialties and in oncology.

Regeneron Pharmaceuticals 2023 – 2024

Research Intern

Researched generative ML models for patient trajectory simulation. Also trained predictive models for metabolic liver disease diagnosis.

Teaching Experience

The Warren Alpert Medical School of Brown University 2026 – Present

Pre-Clerkship Elective Course Leader

Course Leader for Data Science and AI for Clinicians (BIOL 6535).

Brown University 2023 – 2025

Teaching Assistant

TA, then Head TA for Machine Learning (CSCI 1420). TA, then Head TA for Computational Statistics (APMA 1690). TA for Statistical Inference (APMA 1650).