440 Huntington Avenue
266 West Village H
Boston, MA 02115
Tanay Mehta is a PhD student in the Complexity Theory and Cryptography programs at Northeastern University’s College of Computer and Information Science, advised by Professor Ravi Sundaram. Tanay’s research is focused on the theoretical aspects of computer science, especially learning theory and complexity theory. He is interested in finding connections between computer science and mathematics that will lead to new problem solving techniques. Before coming to Northeastern, Tanay earned his bachelor’s degree in mathematics from the University of Southern California.
- BS in Mathematics, University of Southern California
- Hometown: Mumbai, India
- Field of Study: Theoretical Computer Science
- PhD Advisor: Ravi Sundaram
What are your research interests?
I am interested in learning theory, complexity theory, and more generally, theoretical computer science.
What’s one problem you’d like to solve with your research/work?
I’d love to get a better theoretical understanding of how artificial neural networks behave.
What aspect of what you do is most interesting?
I enjoy finding connections between different areas of computer science and mathematics that lead to new perspectives when solving problems.
Where did you grow up or spend your most defining years?
I grew up in Dallas, Texas.
Where did you study for your undergraduate degree?
For my undergraduate degree, I studied mathematics at the University of Southern California.