About

Katya Scheinberg is a Coca-Cola Foundation Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Prior to joining Georgia Tech she was a professor in the School of Operations Research and Information Engineering (ORIE) faculty at Cornell University. She joined the ORIE faculty after serving as the Harvey E. Wagner Endowed Chair Professor at the Department of Industrial and Systems Engineering at Lehigh University. She was also a co-director of Lehigh Institute on Data, Intelligent Systems and Computation. Professor Scheinberg was born in Moscow, Russia, and earned her undergraduate degree in operations research from the Lomonosov Moscow State University in 1992 and then received her Ph.D. in operations research from Columbia in 1997. She was a research staff member at the IBM T.J. Watson Research Center for over a decade, where she worked on various applied and theoretical problems in optimization. 

Professor Scheinberg’s main research areas are related to developing practical algorithms and their theoretical analysis for various problems in continuous optimization, such as convex optimization, derivative free optimization, machine learning, quadratic programming, etc. She published a book in 2009 titled, Introduction to Derivative Free Optimization, which is co-authored with Andrew R. Conn and Luis N. Vicente. Recently some of her research focuses on the analysis of probabilistic methods and stochastic optimization with a variety of applications in machine learning and reinforcement learning.