Hi there! Thanks for stopping by. A little bit about me: I’m currently a Ph.D. student in the Machine Learning Department at Carnegie Mellon University (planning on graduating ≈summer 2019), where I’m advised by Ryan Tibshirani and Zico Kolter. I’m quite thankful to be (financially) supported by a Department of Energy Computational Science Graduate Fellowship.
Before starting grad school, I worked at Microsoft, where I managed and worked on teams doing machine learning in order to improve Bing’s ranking and query rewriting systems. I also spent a little bit of time in the Department of Statistics at the (nearby) University of Washington, looking into some interesting statistical and computational questions related to ranking.
|Dec 20, 2016||I was a teaching assistant for Carnegie Mellon’s course on convex optimization.|
|Sep 26, 2016||I sat down for an interview with the World Affairs Council, on how data science can help with social problems. Feel free to have a listen here (the interview is ≈30 mins long)!|
|Sep 12, 2016||I was on the steering committee for the interpretable machine learning workshop, at NIPS 2016.|