Martin Wainwright is a Professor at UC Berkeley, with a joint appointment between the Department of Statistics and the Department of Electrical Engineering and Computer Sciences (EECS). He received his bachelor's degree in mathematics from the University of Waterloo, and his PhD in electrical engineering and computer science from MIT, for which he was awarded the George M. Sprowls Prize from the MIT EECS Department in 2002. He joined the faculty at UC Berkeley in fall 2004, with a joint appointment between the Department of Statistics and the Department of Electrical Engineering and Computer Sciences.
He has received a NSF CAREER Award (2006), an Alfred P. Sloan Foundation Research Fellowship (2005), an Okawa Research Grant in Information and Telecommunications (2005), the 1967 Fellowship from the Natural Sciences and Engineering Research Council of Canada (1996-2000), and several outstanding conference paper awards.
- Computational Complexity of Statistical Inference, Fall 2021. Visiting Scientist.
- Geometric Methods in Optimization and Sampling, Fall 2021. Workshop Organizer.
- Geometric Methods in Optimization and Sampling, Fall 2021. Visiting Scientist and Program Organizer.
- Probability, Geometry, and Computation in High Dimensions, Fall 2020. Visiting Scientist.
- Theory of Reinforcement Learning, Fall 2020. Visiting Scientist.
- Foundations of Deep Learning, Summer 2019. Visiting Scientist.
- Foundations of Data Science, Fall 2018. Visiting Scientist.
- Lower Bounds in Computational Complexity, Fall 2018. Visiting Scientist.
- Information Theory, Spring 2015. Visiting Scientist.
- Theoretical Foundations of Big Data Analysis, Fall 2013. Visiting Scientist and Workshop Organizer.