I am a researcher and CS PhD student at the University of Maryland, College Park, where I am advised by John Dickerson and get to collaborate with awesome labmates. My research interests include: sequential and combinatorial decision-making under uncertainty, algorithmic fairness, and knowledge representation and reasoning in the clinical domain.
Prior to UMD, I completed my MS in Computer Science with a concentration in Machine Learning at Georgia Tech while working as a research scientist at the Georgia Tech Research Institute. I completed my undergraduate studies at Georgetown University, and have several years of professional experience as a data scientist, with a domain focus on economics and healthcare. During Summer 2021, I interned at Amazon Robotics, working on graph-based deep RL.
Things that make life better (for me) include: open data, reproducible research, coffee, cats, long-distance running, learning new languages, podcasts, and thinking about how to improve patient-physician communication and reduce time to diagnosis for patients with complex diseases. I am excited to work with new collaborators and help make CS a more inclusive field where people from all backgrounds feel welcome: please consider me a resource and don’t hesitate to reach out.
PhD | Computer Science, 2019-present
University of Maryland, College Park
MS | Computer Science, 2018
Georgia Institute of Technology
An open-source NLP framework for clinical phenotyping.
An Ethereum-based prototype platform to facilitate patient-directed provider-to-provider record sharing.
PyTorch-based pipeline to use CNNs to detect and localize the 14 thoracic pathologies present in the NIH Chest X-ray dataset.