Erik B. Sudderth, Statistical Computation & Perception

Erik B. Sudderth is an Associate Professor of Computer Science at the University of California, Irvine. He was previously an Associate Professor of Computer Science at Brown University. He received the Bachelor's degree (summa cum laude, 1999) in Electrical Engineering from the University of California, San Diego, and the Master's and Ph.D. degrees (2006) in EECS from the Massachusetts Institute of Technology. His research interests include probabilistic graphical models; nonparametric Bayesian methods; and applications of statistical machine learning in computer vision and the sciences. He received an NSF CAREER award, the ISBA Mitchell Prize, and was named one of "AI's 10 to Watch" by IEEE Intelligent Systems Magazine.

For more information, see my recent research & editorial highlights.

Erik Sudderth