Katya Scheinberg is professor at the School of Operations Research and Information Engineering at Cornell University. Before then she held the Harvey E. Wagner Endowe Chair Professor position at the Industrial and Systems Engineering Department at Lehigh University. She was also a co-director of Lehigh Institute on Data, Intelligent Systems and Computation. Her 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 titled, Introduction to Derivative Free Optimization, which is co-authored with Andrew R. Conn and Luis N. Vicente for which they were awarded the Lagrange Prize in Continuous Optimization. Her resent research focuses on the analysis of probabilistic methods and stochastic optimization with a variety of applications in machine learning and reinforcement learning. In 2019 she has been awarded the Farkas Prize by the Informs Optimization Society.