The Warren Alpert Medical School of Brown University
2025 – Present
M.D. Student
Andrew J Yang
Medical Student & Computational Researcher
The Warren Alpert Medical School of Brown University
About
I am an MS2 at The Warren Alpert Medical School of Brown University. I am passionate about leveraging statistics and machine learning to extract meaningful insights from biomedical data. I am broadly interested in surgery and oncology.
News
- Jul 2026 We released a preprint of our spatial gene set analysis method!
- 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!
Selected Works
Method
Interpretable and scalable spatial gene set activity analysis with GESSO uncovers functional tissue architecture
Preprint at bioRxiv, 2026. doi:10.64898/2026.07.02.736099
Method
Tool-wielding language model-based agent offers conversational clinical data exploration
npj Artificial Intelligence, 2026. doi:10.1038/s44387-025-00070-2
Clinical Research
Rotational variability in arthritic knee morphometry predominantly arises from the hip and may warrant preoperative consideration prior to total knee arthroplasty
Arthroplasty Today, 2026. doi:10.1016/j.artd.2026.101967
* denotes equal contribution
Education
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
Harvard Medical School / Broad Institute
2026 – Present
Student Researcher
Analyzing bladder cancer spatial transcriptomics datasets.
Brown University Department of Biostatistics
2023 – Present
Student Researcher
Developing machine learning methods for spatial transcriptomics and health informatics. Also working on miscellaneous medical data science projects across surgical specialties and in oncology.
Regeneron Pharmaceuticals
2023 – 2024
Research Intern - Machine Learning
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).