Mathematics × Medicine × AI
I'm a 2026 Churchill Scholar and undergraduate at UT Austin pursuing degrees in Computational Engineering (BSE), Mathematics (BS), and Chemistry (BSA), with minors in Philosophy and Cultural Expression, Human Experience, & Thought. My research focuses on (1) mathematical and computational models of treatment and disease dynamics, (2) clinically grounded AI systems with reliable reasoning, and (3) translating new methods into practice through careful evaluation.
At UT's Center for Computational Oncology, I work with Prof. Thomas Yankeelov and Dr. Ernesto Lima on mathematical oncology. I also work on clinical AI evaluation with NYU OLAB and Prof. Eric K. Oermann.
Previously, I worked with Prof. Richard Bouchard at MD Anderson Cancer Center on photoacoustic imaging as part of the MDACC SURP program and machine learning for metabolomics with Prof. Chirag Patel at Harvard Medical School as part of the SIBMI program.
Harvard Medical School — PI: Dr. Chirag Patel
Designing and implementing high throughput pipelines for large-scale, untargeted LC-MS exposomics and machine learning analyses.
NYU Grossman School of Medicine, OLab — PI: Dr. Eric K. Oermann
Curating open-source large language models for the medical domain. Developing MedMobile and evaluating LLM performance on clinical benchmarks.
UT Austin, Center for Computational Oncology — PIs: Dr. Lima, Dr. Yankeelov
Developing mathematical frameworks to model, predict, and optimize patient-specific tumor dynamics in pancreatic and breast cancer models.
MD Anderson Cancer Center — PI: Dr. Richard R. Bouchard
Engineering advanced image processing algorithms based on fluid dynamics to enhance photoacoustic imaging for cardiac ablation monitoring.