David Zuckerman is a professor of computer science at the University of Texas at Austin. He received his BA in mathematics from Harvard University in 1987, and his PhD from the University of California, Berkeley in 1991. He was a postdoctoral fellow at MIT from 1991 to 1993, and at Hebrew University in the Fall of 1993. He has been with the University of Texas since then, visiting UC Berkeley from 1999 to 2000, Harvard University from 2004 to 2005, and the Institute for Advanced Study from 2011 to 2012.
His research focuses primarily on pseudorandomness and the role of randomness in computing. He is best known for his work on randomness extractors and their applications. His other research interests include coding theory, distributed computing, cryptography, inapproximability, and other areas of complexity theory. He is an ACM Fellow, and has been awarded a Guggenheim Fellowship, a Radcliffe Institute Fellowship, a Packard Fellowship for Science and Engineering, a Sloan Research Fellowship, and a NSF Young Investigator Award.
- Summer Cluster: Error-Correcting Codes and High-Dimensional Expansion, Summer 2019. Visiting Scientist.
- Pseudorandomness, Spring 2017. Visiting Scientist, Program Organizer and Workshop Organizer.
- Information Theory, Spring 2015. Visiting Scientist.