Assistant Professor of Radiation Oncology, Clinician Educator

Overview

My research interest is centered around utilizing artificial intelligence (AI) to enhance the safety and efficiency of radiotherapy. I aim to leverage natural language processing (NLP) to impute missing data for important features, enabling accurate prediction of prescription anomalies. Additionally, I am interested in designing and improving anomaly detection algorithms that can more effectively identify these anomalies. Ultimately, my goal is to use these algorithms to streamline the peer review chart rounds, and develop visualization tools that can facilitate more efficient and effective identification of prescription anomalies.

Brown Affiliations