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 student at UT Austin pursuing degrees in Computational Engineering (BS), Mathematics (BS), and Chemistry (BSA) with a minor in philosophy. I study the intersection of artificial intelligence, mathematics, and medicine. My research is centered around three goals: 1) to develop mathematical and computational tools for the modeling of clinical treatment, 2) to build intelligent systems with strong clinical reasoning abilities, 3) to translate and evaluate cutting-edge mathematics and technology for human health.
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.