Huck Bennett

Huck Bennett is an Assistant Professor in the Computer Science department at the University of Colorado Boulder. He previously served as an Assistant Professor at Oregon State University (2021–2023) and held postdoctoral positions at the University of Michigan and Northwestern University. He earned his Ph.D. from the Courant Institute of Mathematical Sciences at New York University, advised by Daniel Dadush and Chee Yap.

His research focuses on theoretical computer science, with a strong emphasis on geometric algorithms and lattice problems. Key interests include algorithm design, computational complexity, and applications in cryptography. His work bridges fundamental algorithmic challenges in lattice theory and coding theory, exploring their implications for cryptography and optimization.

His research contributions span topics like lattice-based cryptography, hardness of approximation, and geometric algorithms. Notable themes include analyzing the complexity of lattice problems (e.g., shortest vector problem), algorithmic improvements for code equivalence, and applications of coding theory in matrix verification and subset sum problems.

No scientific awards are explicitly listed in the provided information. Advising and grants: While no active grants are mentioned, his academic trajectory reflects a focus on mentoring through prior roles and doctoral supervision. No specific lab affiliations are noted.