I am a first-year computer science PhD student at Duke University advised by Alex Volfovsky, Cynthia Rudin, and Sudeepa Roy. I am broadly interested in network science an in integrating machine learning methods into causal inference.
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.