C. Seshadhri (Seshadhri Comandur)


I recently joined the department of Computer Science at UC Santa Cruz as an assistant professor, starting 2015. Previously, I was a Principal Member of Technical Staff at Sandia National Labs, Livermore in the Information Security Sciences department. My work is primarily focussed on mathematical foundations of big data problems. I am very interested in applying theoretical computer science methods (especially random sampling and sublinear algorithms) to realworld problems involving massive data sets. CV: pdf Brief BioC. Seshadhri is an assistant professor of Computer Science at the University of California, Santa Cruz. Prior to joining UCSC, he was a researcher at Sandia National Labs, Livermore in the Information Security Sciences department, during 20102014. His primary interest is in mathematical foundations of big data, especially modeling and algorithms. By and large, he works at the boundary of theoretical computer science and data mining. His work spans many areas: sublinear algorithms, graph algorithms, graph modeling, scalable computation, and data mining. His background is in theoretical computer science, specifically sublinear algorithms. He got his Ph.D from Princeton University and spent two years as a postdoc in IBM Almaden Labs. PTReviewEric Blais, Sourav Chakraborty, and I started a blog called Property Testing Review, a monthly digest of property testing and sublinear algorithms papers. 