I'm a Ph.D. student at UMass Amherst working in the Information Extraction and Synthesis Laboratory with Professor Andrew McCallum. Previously, I received a B.S. in Computer Science from Tufts University and worked as a researcher at MIT Lincoln Laboratory building intelligent decision support systems for US intelligence analysts. I spent the summer of 2014 at Google MTV training models of worker-task interaction that I used to optimize a new crowdsourcing platform. I spent the summer of 2016 at Google NYC building deep networks to predict characteristics of the locations in Google Maps.
I am primarily interested in developing scalable machine learning algorithms that are theoretically motivated. Currently I'm working on algorithms for data integration--or combining multiple, heterogeneous sources of data into a single, consistent knowledge base. As such, I've focused on methods for information extraction, entity resolution, clustering and intelligently incorporating human contributions with automated inferences. I'm also broadly interested in interactive machine learning, linear programming and crowdsourcing.
I am also the chief designer and maintainer of ReSearcher.cc, a database of scientific affiliations and collaborations and conference management. Our backend integration engine dynamically produces ReSearcher's content by synthesizing multiple sources of data including edits from users. ReSearcher has been used by ICCV, ECCV, CVPR and MICCAI to help identify conflicts of interest in peer review and automatically produce matchings of papers to reviewers.
In my spare time, I enjoy cooking (especially ethnic foods that involve uncommon spices), learning for free, climbing, playing soccer and other sports, composing/playing music, snowboarding, playing German-style board games, traveling the world, listening to NPR (e.g. The Moth Radio Hour and wNYC's RadioLab), eating gummy candy, and learning about philosophy, religion, and nutrition.
In a previous life, I co-found a start-up and was a junior olympic Tae Kwon Do champ.
My favorite book is Zen and the Art of Motorcycle Maintenance.