I am a rising fourth-year Computer Science Ph.D. student at Carnegie Mellon University, advised by Eric Xing. I am interested in statistical machine learning and the theoretical challenges that arise from the constraints of real-world data. I have been particularly motivated by healthcare applications, as the challenges of building interpretable, robust systems for inference on high-dimensional data are of critical importance in this area.

I am currently co-founding the AI+ club at CMU. If you are interested in sponsoring talks, contact me by email.

Contact me on Twitter, by email, or in person (GHC 8127).


My heart is motivated by the promise of precision medicine and my mind is captivated by the puzzles of statistical machine learning. You can find a list of my publications according to Google Scholar, Semantic Scholar, DBLP, or curated on my page here.


In Spring 2017, I was a TA for Prof. Jian Ma and Prof. Maria Chikina's course 02-410/710 Computational Genomics. I gave a lecture on statistical methods for discovering genetic associations [pdf].

In Fall 2016, I was a TA for Prof. Chris Langmead's course 02-450/750 Automation of Biological Research: Robotics and Active Learning. I gave a lecture on active learning for Bayesian Networks [pdf].


GenAMap is an open source platform for visual machine learning of structured association mappings between genotypes and phenotypes.

My github page.