Rahul Ilango headshot
Current Member

Rahul Ilango

Funding provided by the National Science Foundation

Affiliation

Mathematics

Field of study

Computational Complexity Theory

Home institution

Institute for Advanced Study
Rahul Ilango studies computational complexity theory, where a central goal is to find faster algorithms or prove no faster algorithms exist. He is particularly interested in questions that bridge complexity theory with related areas such as cryptography and proof complexity. One such direction is better understanding algorithms for the "Minimum Circuit Size Problem," which plays a central role in all these areas.

Visits

Member
School of Mathematics