I am a computer science PhD candidate at Northwestern University in the C3 Lab advised by Kristian Hammond. My research is centered around automating data science processes in order to enable people to directly ask questions of their data and receive meaningful insights and information in return. In general, I am interested in developing and applying methods which combine neural and symbolic methods in order to improve access to data and information. In particular, I’ve been developing a neurosymbolic method which identifies user information needs, formulates and executes analytic plans to derive this information from data, and then communicates this information with highly fluent language via a large language model. The goal of this work is to produce factual and fluent documents which communicate meaningful information from a person’s data.

I am also affiliated with Northwestern’s Center for Advancing Safety in Machine Intelligence (CASMI) and am interested in developing methods for ensuring machine learning systems are safe and effective in the real-world.