Mikhail Traskin

Mikhail Traskin serves as an Assistant Professor in the Department of Statistics at the University of California, Berkeley. He completed his Ph.D. in Statistics in 2007 with a dissertation titled 'On the Consistency of Ensemble Classification Algorithms' under the supervision of Peter Bartlett.

Dr. Traskin's research focuses on theoretical aspects of machine learning, particularly in the area of ensemble classification methods. His work examines the mathematical foundations and consistency properties of algorithms that combine multiple classifiers to improve predictive performance. His expertise spans statistical learning theory, pattern recognition, and algorithmic analysis in high-dimensional spaces.

As a faculty member in one of the nation's leading statistics departments, Traskin contributes to both undergraduate and graduate education in statistical theory and methodology. His academic background reflects the strong theoretical tradition of Berkeley's Statistics program, with emphasis on rigorous mathematical approaches to data analysis problems.