Hello! I'm a postdoc in the Kellis Lab at MIT CSAIL and the Broad Institute. I recently completed my PhD from the CS Department at Carnegie Mellon University, advised by Prof. Eric Xing. I've also been very blessed to spend time working with Rich Caruana at Microsoft Research (2019, 2020) and Chris Potts at Roam Analytics (2017). My work has been 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, which often contain heterogeneous samples with conflicting patterns. My thesis is focused on sample-specific models -- since we are often interested in sample-specific infereces, can we estimate models for each individual sample? For more, please refer here.
Defended my PhD Thesis Sample-Specific Models for Precision Medicine. Thanks to my thesis committee of Eric Xing, Zico Kolter, Ziv Bar-Joseph, Rich Caruana, and Manolis Kellis for all of their help.
Our pre-print "Distentangling Increased Testing from Covid-19 Epidemic Spread" is now on on Medrxiv.
Our pre-print "On Dropout, Overfitting, and Interaction Effects" is now on on Arxiv.
Our pre-print "Discriminative Subtyping of Lung Cancers" is now on on Medrxiv.
I'll be (virtually) heading back to MSR this summer to continue work with Rich Caruana on models of mortality risk.
A more complete list of my publications can be found here.