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Who am I?

I am an MD/PhD student with wild ambitions and diverse interests. In the future, I hope to develop artificial intelligence systems that are able to diagnose diseases, suggest treatments, and aid in the development of novel therapeutics -- especially for cancer.

At the moment, I am in the PhD phase of my education working under Dr. Prateek Prasanna in the IMAGINE Lab at Stony Brook University. My dissertation work focuses on using machine learning techniques to analyze radiation planning data and medical images in order to improve patient outcomes for a variety of cancers treated by radiotherapy. I also am active in public health initiatives surrounding the COVID-19 pandemic in collaboration with the Massachusetts Institute of Technology. Previously, I completed both bachelor's and master's degrees in biophysics at the University of Southern California, where I studied circulating tumor cells in several solid cancers.

Projects

Using Graphs to Model Radiotherapy Outcomes in Head and Neck Cancer

Developing a new framework for radiomic analysis based upon computational graphs and patient anatomy.

Predicting Brain Metastases Response to Radiation

Using radiomics and dosiomics to characterize tumors with imaging and treatment planning data.

Modeling Hitting Streaks in Major League Baseball

Beating the streak with machine learning for baseball analytics.

Equitable Vaccine Distribution in the COVID-19 Pandemic

Public health innovation in COVID-19 and future pandemic vaccine distribution and preparedness.

Computational Analysis of Chest X-ray in COVID-19

Radiomic and deep-learning to model clinical outcomes in COVID-19 patients using chest x-rays.

Proteomic and Genomic Analysis of Circulating Tumor Cells in Metastatic Prostate Cancer

Master's thesis on the effects of a chemotherapy agent in the treatment of metastatic prostate cancer.