Theory
The ACM recognizes fellows for their transformative contributions to computing science and technology.
Machine learning systems often assume that the data they learn from is mostly trustworthy. But what happens when that data is deliberately corrupted?
Several of our faculty and students had their papers accepted, contributing new insights to areas such as algorithms, complexity theory, and cryptography.
About
The group does research on the fundamental capabilities and limitations of efficient computation.
In addition, they use computation as a lens to gain deeper insights into problems from the natural, social, and engineering sciences.
The group is highly collaborative, both within Columbia and among peer institutions. They hold a weekly Theory Lunch and a bi-weekly Student Seminar. Most graduate students have (at least) two advisors and collaborate with several professors and other students. Some of the faculty are cross-listed with the IEOR department and the Data Science Institute.
Theory of Computing Group 
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