Hello,

I’m a PhD candidate in Biophysical Sciences at the University of Chicago. I’m jointly advised by Alexander T Pearson MD PhD and Samantha Riesenfeld PhD.

I apply machine learning methods to multi-modal cancer data to help us better understand the variables driving an individual’s disease.

While many therapies for cancer enter clinical development, very few see FDA approval. My work seeks to understand the latent biology underlying cancer by combining information-rich genomic and clinically-available histologic data to identify better biomarkers for treatment response.

Prior work experience as a research technician at the University of Chicago (2018-2020) testing novel therapies for aggressive prostate cancer, and meeting patients as a part of clinical trials helped shape my interest in identifying better treatment strategies for cancer patients.