Peter J. Haas is an American computer scientist and operations researcher known for his work in information management and big data.
He worked for 30 years at IBM Research before becoming a professor of computer science at the University of Massachusetts Amherst.
[1] Haas graduated in 1978 from Harvard University, magna cum laude, with a degree in engineering and applied sciences.
[2] He was a scientist for Radian Corporation from 1979 to 1981, and an assistant professor of decision and information sciences at Santa Clara University from 1985 to 1987, before joining IBM Research in 1987.
[2] Haas is the author or co-author of books including: Haas is a Fellow of the Association for Computing Machinery (2013)[2] and was named a fellow of INFORMS in 2016 "for sustained and fundamental contributions to discrete-event simulation and interactive sampling-based analytics for massive data sets as well as for significant service to the simulation community".