I'm a Ph.D student in the Machine Learning Department at Carnegie Mellon University, where I'm advised by Ryan Tibshirani and Zico Kolter. I'm generally interested in convex optimization and statistical theory, as well as applications in economics, finance, and public policy. I'm also quite thankful to be supported by a Computational Science Graduate Fellowship, from the Department of Energy.
Before starting grad school, I worked as a software engineer to improve Microsoft's Bing, mainly in the areas of ranking and query rewriting, by doing and applying research from machine learning, natural language processing, and information retrieval. I also spent some time in the Department of Statistics at the University of Washington, doing research on permutation learning.
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