Michael Celentano is a Miller Fellow at UC Berkeley, hosted by Martin Wainwright. Michael is broadly interested in problems in high-dimensional statistics, and in particular in optimal estimation under computational constraints, exact asymptotics, and inference in high-dimensional models.
- Computational Complexity of Statistical Inference, Fall 2021. Visiting Postdoc.
- Probability, Geometry, and Computation in High Dimensions, Fall 2020. Visiting Graduate Student.