I am a first-year computer science PhD student at Duke University advised by Cynthia Rudin and Alex Volfovsky. I am broadly interested in developing interpretable causal inference methods for complex data. In collaboration with researchers at Duke and Harvard, we won first place in W3PHIAI's Aging Hackathon for our development of a brain health biomarker using sleep EEG signals.

In the past, I was a research assistant at Temple University's Data Science Institute working with Dr. Edoardo Airoldi, Dr. Ken McAlinn, and Dr. Jeanne Ruane and the Center for Data Analytics and Biomedical Informatics working with Dr. Zoran Obradovic. During my time at Temple University, I explored applied problems spanning the psychology behind economic decision making, tipping behavior in digital platforms and the gig economy, and charitable giving behavior. I also explored methodological network problems involving a novel mechanistic network model for producing non-scale-free degree distributions.