Translating clinical questions into rigorous, patient-centered tools.
I am Matthew X Chen, a Yale medical student focused on applying AI to medicine and translating computational insights into clinically useful tools. My background spans data science, economics, genomics, and neuroscience.
Now
Currently
Post-baccalaureate researcher at the NIH studying neural circuits of pain and multimodal omics.
Location: Bethesda, MD
Focus: AI for biomedical discovery
Profile
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Timeline
Education & Trajectory
M.D. Candidate
Yale School of Medicine
Medical training with a focus on AI-enabled clinical care and translational research.
2025 - 2029
Post-Baccalaureate Researcher
Liu Lab, NIDCR, National Institutes of Health
Built a spatial multi-omics library to map neural circuits underlying pain. Modeled multi-region calcium imaging data; co-authored Neuron (2025).
2023 - 2025
Research Intern
Molecular Pathology Group, NIEHS, NIH
Developed high-throughput screening dataset for chemical carcinogenicity; modeled carcinogenicity with >80% accuracy; 3rd prize NIEHS poster symposium.
2021 - 2022
Computational Biology Research Intern
Khomtchouk Lab, University of Chicago
Performed GWAS across 1M+ SNPs for heart failure phenotypes and automated genotype imputation quality control.
2021 - 2024
Summer Research Intern
Operative Performance Research Institute, Pritzker SOM
Studied long-term implications of Osgood-Schlatter disease using PearlDiver.
2020
B.A. Economics, Data Science Specialization
University of Chicago
Minors in Computer Science, Biology, and Chemistry.
2019 - 2023
High School Diploma
Thomas Jefferson High School for Science and Technology
Coursework in DNA Sciences, Organic Chemistry, and Quantum Optics. SAT 1580.
2015 - 2019