Koushik Sen — Head of Design

Koushik Sen is a professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley and a scientist at Google DeepMind. His research interest lies in Software Engineering, Programming Languages, Artificial Intelligence, and Formal methods. He is interested in developing software tools and methodologies that improve programmer productivity, software quality, and performance. He is best known for his work on directed automated random testing and concolic testing. He has received a NSF CAREER Award in 2008, a Haifa Verification Conference (HVC) Award in 2009, a IFIP TC2 Manfred Paul Award for Excellence in Software: Theory and Practice in 2010, and a Sloan Foundation Fellowship in 2011. He has won three ACM SIGSOFT Distinguished Paper Awards. He received the C.L. and Jane W-S. Liu Award in 2004, the C. W. Gear Outstanding Graduate Award in 2005, and the David J. Kuck Outstanding Ph.D. Thesis Award in 2007 from the UIUC Department of Computer Science. He holds a B.Tech from Indian Institute of Technology, Kanpur, and M.S. and Ph.D. in CS from University of Illinois at Urbana-Champaign.

Stackforce AI infers this person is a Software Engineering expert with a focus on AI and productivity tools.

Location: Oakland, California, United States

Experience: 19 yrs 5 mos