Curtis G. Northcutt

cgn |AT| mit |DOT| edu

Resume | Google Scholar | GitHub

Photo of Curtis G. Northcutt, Ph.D. Candidate at MIT.

I am a sixth-year Ph.D. Candidate in Computer Science at MIT specializing in algorithms for robust learning with noisy labels and broad applications, especially in online education.


Theme adapted from orderedlist

News – under construction (this is a new website).

12-01-17: This website is in transition to better things. It should be complete by early 2018. For now, here is my resume.

11-30-17: For a tutorial-style framing of the field of Artificial Intelligence in Online Education, including state-of-the-art solutions to important online education problems, as well as bits of my unpublished research, see these slides.
08-15-17: Rank Pruning is a state-of-the-art, robust, time-efficient, general algorithm for classification with noisy labels published at UAI ‘17.
04-20-17: Forum Ranking Diversification published at L@S ‘17.
09-20-16: CAMEO Cheating Detection in MOOCs and online courses published in Computers & Education ‘16.