C. 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, from 2010 to 2014. His primary interest is in the 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 received his PhD from Princeton University and spent two years as a postdoc in IBM Almaden Labs.