Hello! I'm a Ph.D. student in the CS Department at Carnegie Mellon University, advised by Prof. Eric Xing. I've also spent time at Microsoft Research (2019) and Roam Analytics (2017). My work is generously supported by the CMLH Fellowship.
Research Interests: Motivated by the promise of precision medicine and focused on methodology for uncovering meaningful patterns from complex data. A major focus of my research is personalized machine learning -- can we estimate large collections of simple models which are tailored to only a few samples?
Our new paper on Pure Interaction Effects has been accepted to AISTATS 2020!
Blog post on Personalized Regression is online!
Our new paper on Pure Interaction Effects is available on Arxiv!
Honored to present Personalized Machine Learning at the Broad Institute Next Generation in Biomedicine Symposium.
A more complete list of my publications can be found here.