Cancer × Technology × Medicine
Aspiring physician-scientist at the intersection of cancer and technology, developing mathematical and computational tools for oncology modeling and translating cutting-edge AI for clinical care.
I'm a triple-degree student at UT Austin (Computational Engineering, Mathematics, Chemistry) focused on developing mathematical frameworks to model, predict, and optimize patient-specific tumor dynamics. My work spans from curating medical LLMs to engineering advanced imaging algorithms.
Currently conducting research at UT Austin's Center for Computational Oncology, NYU Grossman School of Medicine, and previously at MD Anderson Cancer Center and Harvard Medical School's Department of Biomedical Informatics.
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.