Michael Celentano is a PhD student at the Stanford Statistics Department, advised by Professor Andrea Montanari. He is supported by NSF Graduate Research Fellowship. 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.
Michael received a bachelor's degree in mathematics and physics in 2014 and a master's degree in electrical engineering in 2016 from Stanford University.
- Probability, Geometry, and Computation in High Dimensions, Fall 2020. Visiting Graduate Student.