Patrick Koch
Principal Data Scientist, Operations Research R&D

Dr. Patrick Koch is a Principal Data Scientist with the Operations Research R&D team in the Advanced Analytics division at SAS Institute Inc. His focus is on optimization strategies in machine learning – developing hybrid search methods within a distributed/parallel framework for effective and efficient training and tuning of predictive models. Before joining the SAS OR team, Patrick led a team designing, developing, and applying collaborative decision support technologies for engineering design at Dassault Systèmes – combining sampling/designed-experiment strategies for computer simulations, predictive modeling surrogates for complex and expensive black box simulations, and non-linear optimization methods with interactive post processing and visualization. Here Patrick’s expertise resided on coupling statistics and probabilistics with search methods for optimization under uncertainty (stochastic, robust, reliability-based optimization). Patrick received his Ph.D. in Mechanical Engineering in 1998 from Georgia Institute of Technology where he collaborated with Aerospace Engineering and Industrial and Systems Engineering departments while developing a hierarchical approach to robust optimization of large scale complex systems.