Dr. Sanjoy Dasgupta

Biography

Sanjoy Dasgupta develops algorithms for statistical analysis of high-dimensional data, with research interests in high-dimensional statistics, clustering, and machine learning. His work addresses the challenges posed by the geometry of high-dimensional spaces, which often results in the inefficacy of traditional statistical methods designed for lower dimensions. Dasgupta has created provably correct, efficient algorithms for a variety of canonical statistical tasks, particularly those related to clustering data. His research combines aspects of algorithmic theory, geometry, and mathematical statistics, strengthening the theoretical focus in UCSD's Computer Science and Engineering department, particularly in artificial intelligence and bioinformatics. Prior to joining UCSD's Jacobs School in 2002, he was a senior member of the technical staff at AT&T Labs-Research, where he focused on algorithms for data mining, speech recognition, and business data analysis. He holds a Ph.D. in Computer Science from UC Berkeley (2000) and a B.A. in Computer Science from Harvard (1993). He is also a member of the editorial boards for several prominent journals in machine learning and artificial intelligence.

Research Interests