Huck Bennett. Dr. Bennett’s research interests are in theoretical computer science, with an emphasis on geometric algorithms. He completed his Ph.D. at New York University advised by Chee Yap and Daniel Dadush (CWI, Amsterdam).
Xue Chen. Dr. Chen is interested in randomized algorithms and the use of randomness in computation. Specific areas include sparse Fourier transform, learning theory and optimization, and pseudorandomness. He obtained his Ph.D. at the University of Texas at Austin, under the supervision of David Zuckerman.
- Randall Berry, EECS
- Dongning Guo, EECS
- Ehud Kalai, MEDS, Kellogg School
- Dave Morton, IEMS
- Jorge Nocedal, IEMS
- Ermin Wei, EECS