Translating clinical questions into rigorous, patient-centered tools.
I am Matthew Chen, a researcher interested in applying AI to medicine and translating computational insights into clinically useful tools. My background spans data science, genomics, and neuroscience, with ongoing work in spatial multi-omics and neural circuit mapping.
Now
Currently
Post-baccalaureate researcher at the NIH studying neural circuits of pain and multimodal omics.
Location: Seattle, WA
Focus: AI for biomedical discovery
About Matthew
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Trajectory
Education & Career
M.D. Candidate, Class of 2029
Yale School of Medicine
Medical training with a focus on integrating AI into clinical care and research.
2024 - 2029
B.A. Economics, Data Science Specialization
University of Chicago
Minors in Biology and Chemistry, pre-medicine track. MCAT 528, GPA 3.905 (science), 3.841 (cumulative).
Sep 2019 - Jun 2023
High School Diploma
Thomas Jefferson High School for Science and Technology
GPA 4.536 weighted, SAT 1580. Coursework in DNA Sciences, Organic Chemistry, and Quantum Optics.
Aug 2015 - Jun 2019
Selected
Research Experience
Post-Baccalaureate Researcher
Liu Lab, NIDCR, National Institutes of Health
Aug 2023 - Present
- • Built a spatial multi-omics library to map neural circuits underlying pain.
- • Modeled multi-region calcium imaging data to characterize brain network dynamics.
- • Co-authored Neuron paper on a pontine center in descending pain control.
Computational Biology Research Intern
Khomtchouk Lab, University of Chicago
Sep 2021 - Jul 2024
- • Performed GWAS across 1M+ SNPs for heart failure phenotypes.
- • Automated genotype imputation quality control for the lab pipeline.
Research Intern
Molecular Pathology Group, NIEHS, NIH
May 2021 - Present
- • Developed high-throughput screening dataset for chemical carcinogenicity.
- • Modeled carcinogenicity with >80% accuracy using ML and statistical methods.
- • Awarded 3rd prize at NIEHS poster symposium.
Summer Research Intern
Operative Performance Research Institute, Pritzker SOM
May 2020 - Sep 2020
- • Studied long-term implications of Osgood-Schlatter disease using PearlDiver.
Themes
Research Interests
AI in medicine
ExploringComputational genomics
ExploringTranslational neuroscience
ExploringClinical decision support
Exploring