PhD Stuff

I completed my PhD in Machine Learning at Carnegie Mellon University.
I was advised by Eric P. Xing.
Thesis title: "Uncovering Structure in High-Dimensions: Networks and Multi-task Learning Problems" [PDF]

I was fortunate enough to work with Alessandro Rinaldo, Aarti Singh and Larry Wasserman.

My main research focus is on statistical and machine learning methods that identify interesting and interpretable structure underlying complex systems from noisy, high-dimensional data, with scientific discovery in mind. 

Teaching Assistant

Spring 2010  --  Teaching assistant for 10-702 Statistical Machine Learning
Fall 2011  --  Teaching assistant for 10-601 Machine Learning

Thesis related

February 2010 -- Data analysis project (Slides)
Proposal document (PDF)
Thesis document (PDF)

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