UCSD Theory Group

PhD Students

Daniel Beaglehole Algorithms, ML Theory

Eric Binnendyk Algorithms and Complexity

Michael Borkowski Lattices, Type Systems

Hannah Davis Cryptography, Security

Miro Haller Applied Cryptography

Harshvardhan Optimization, Communication

Max Hopkins Learning Theory, Combinatorics

Amy Kanne Combinatorics, Coding Theory

Rex Lei Complexity, Learning Theory

Sihan Liu Distribution Testing, ML Theory

Gaurav Mahajan ML Theory, Active Learning,
Reinforcement Learning

Namiko Matsumoto Statistical Learning

Parsa Mirtaheri Machine Learning, Algorithms

Jackson Morris Quantum Computing, Complexity

Robert Nerem Algorithms, Data Science

Daniel Orenstein ML Theory, Networks,
Graphics

Anthony Ostuni Combinatorics, Learning Theory

Keegan Ryan Security

Mark Schultz Cryptography, Lattices

Laura Shea Cryptography

Adam Suhl Cryptography, Lattices

George Sullivan Security, Cryptography

Marysia Tran Logic, Databases

Christopher Ye Algorithms and Complexity

MS Students

Dustin Lin Complexity, Pseudorandomness

Pawan Paleja Algorithms and Complexity

Undergraduate Students

Shwet Chitnis Quantum Codes, Cryptography

Kimberly Liu ML Theory, Complexity

Postdocs

Hadley Black Algorithms, Property Testing

Gabrielle De Micheli Cryptogaphy, Lattices

Abhishek Roy Non-convex Optimization,
Uncertainty Quantification, MCMC Sampling

Jonathan Shi Statistical Mechanics, Optimization Theory