Erik Sudderth

Erik Sudderth, Ph.D. is a professor of computer science and statistics, and Chancellor's Fellow, at the University of California, Irvine. His learning, inference and vision froup develops statistical methods for scalable machine learning, with applications in artificial intelligence, computer vision and the natural and social sciences. Sudderth's research affiliations at UC Irvine include:

• Director of the UCI Center for Machine Learning and Intelligent Systems. See our seminar series.
• Director of the HPI Research Center in Machine Learning and Data Science at UC Irvine.
• UCI Computational Vision Group.
• UCI Algorithms, Combinatorics, and Optimization Center. See their seminar series.
• UCI Steckler Center for Responsible, Ethical, and Accessible Technology (CREATE).
• UC Irvine Initiative in AI, Law, & Society.
• UCI Institute for Mathematical Behavioral Sciences.
• UCI Data Science Initiative. Also see the statistics seminar series.