Ari Kobren

Amherst, Massachusetts, USA
akobren (at) cs (dot) umass (dot) edu
resume (PDF)

I'm a Ph.D. student at UMass Amherst working in the Information Extraction and Synthesis Laboratory with Professor Andrew McCallum. I work on designing efficient and large-scale unsupervised and semi-supervised learning algorithms, especially with applications to entity resolution. I'm broadly interested in interactive machine learning, scalable algorithms and crowdsourcing.


About Me

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 also the chief designer and maintainer of, 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. I'm also helping to transition ReSearcher's data and functionality to

Other Fun Stuff

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.

Copyright © Ari Kobren 2017