Research Expertise and Interest
computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Michael Jordan is a professor of Statistics and Computer Sciences. His research focuses on the relationships between computation, inference, and incentives. He also works on applications in molecular biology, natural language processing, signal processing and mechanism design. Specific areas of focus in recent years include convex and nonconvex optimization theory, gradient-based stochastic processes, variational inequalities, and statistical contract theory.