Tech Talk & Chat– Converting Weak to Strong MIP Formulations, Part II

Dr. Ed Klotz

Senior Mathematical Optimization Specialist
Gurobi Optimization

Dr. Ed Klotz has over 30 years of experience in the mathematical optimization software industry. He is a technical expert who, over the course of his career, has worked with a wide array of customers to help them solve some of world’s most challenging mathematical optimization problems. In his role as a Senior Mathematical Optimization Specialist on the Gurobi R&D team, Dr. Klotz works closely with our customers to support them in implementing and utilizing mathematical optimization in their organizations. He also interacts heavily with the R&D team based on his experiences with the customers.

Prior to joining Gurobi, Dr. Klotz was a member of the CPLEX development team of IBM. He was involved in product development, customer training, product documentation, and numerous other tasks, with a primary focus on delivering CPLEX customer support and leveraging his experiences with customers to help inform the R&D team about customer needs and product improvements. Dr. Klotz has extensive knowledge in linear programming, integer programming, and numerical linear algebra for finite precision computing. Using this knowledge, he was able to investigate customer support issues at the source code level and identify potential improvements in CPLEX, both in terms of performance and accuracy of computation.

Before joining IBM, Dr. Klotz was a principal technical support engineer at ILOG, Inc., and a mathematical programming specialist at CPLEX Optimization, Inc.

Dr. Klotz has presented at numerous conferences, workshops, and web seminars and published numerous papers on mathematical optimization. His interests are in all aspects of mathematical programming, with a primary interest in research that can impact mathematical programming software. He obtained a BA in Math and Economics from Oberlin College and a PhD in Operations Research from Stanford University.

Dr. Steven Edwards

Product Manager
Gurobi Optimization

Dr. Steven Edwards completed his PhD at Monash University in the field of discrete optimization. His thesis was motivated by the scheduling of automated pathology testing systems used for the diagnosis of cancers and infectious diseases. As part of his research, he developed a modeling framework for efficiently solving large-scale optimization problems using constraint programming inspired by existing techniques in boolean satisfiability and mixed-integer programming. After completing his thesis, Steven worked briefly at the Australian Bureau of Statistics on optimization problems in data security before commencing as a Research Fellow in Operations Research at the University of Melbourne.