Mr. Perrucci has more than 30 years of experience in roles spanning sales, marketing and analytics. He joined Gurobi in 2018 as the CRO, heading both sales and marketing. He then moved into the COO role and ultimately the CEO position in 2023. Prior to Gurobi, he held the position of CRO at Cambridge Analytica – a predictive analytics firm. Here he built the commercial practice in North America by helping companies drive better advertising through the use of artificial intelligence. Before Cambridge he spent 8 years in the MarTech space with FocusVision. Here he built a global sales organization across 6 continents and 10 offices. Prior to FocusVision, Mr. Perrucci spent a total of 9 years at Information Resources Inc. (IRI) working in various analytic consulting roles across the entire PepsiCo enterprise. After the first 4 years at IRI, he decided to gain experience on the brand side and moved into analytics at Unilever. Before long he secured a position in brand management working on the Bertolli business – a $400 million brand in the United States. When IRI came calling again, it was an offer too good to pass up – running the Pepsi Cola and Quaker businesses out of PepsiCo’s world headquarters in Purchase, NY. Before this journey, Duke earned a BA in Classical Civilization from Fordham University. While en route, he earned his MBA from Cornell University.

Oliver brings a wealth of experience as an innovative and results-driven product leader with over two decades of expertise in B2B software, SaaS, and AI technologies. Prior to joining Gurobi, Oliver served as Vice President of Product Management at FICO, where he led product management for Analytics/ML, GenAI, and Optimization. His leadership was instrumental in delivering cutting-edge SaaS capabilities, including high-throughput, low-latency execution of fraud models, predictive modeling software for scores, social network analysis, and mathematical optimization solvers. Before his tenure at FICO, Oliver was a member of the R&D team at Dash Optimization, where he contributed to the development of advanced mixed-integer programming algorithms. Oliver’s passion for mathematical optimization and its practical applications has been a cornerstone of his career. He has consulted on optimization projects across diverse industries and he brings experience in technical sales and teaching. He holds a doctorate in applied mathematics from the Technical University of Munich and a diploma in mathematics and computer science from the University of Cologne.

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. Luce is an experienced researcher in applied mathematics, and author of numerous publications in the fields of numerical linear algebra and optimization. He holds a Ph.D. from Technical University of Berlin.

Mr. Yurchisin has over ten years’ experience applying operations research, machine learning, statistics, and data visualization to improve decision making. Before joining Gurobi, Jerry (who also goes by Jerome) was a Senior Consultant at OnLocation, Inc. where he customized several linear programming models within the National Energy Modeling System (NEMS) to analyze implementing specific energy policies and utilizing new technologies.

Prior to OnLocation, Jerry was an Operations Research Analyst & Data Scientist at Booz Allen Hamilton for over seven years. There he formulated scheduling and staffing integer programming models for the US Coast Guard, as well as led a project to quantify the maritime risks of offshore energy installations with the Research & Development Center. Further, Jerry was the technical lead on several Coast Guard studies including Living Marine Resources and Maritime Domain Awareness, providing statistical analysis and building supervised and unsupervised machine learning models. He also performed statistical analyses, machine learning modeling, and data visualization for cyberspace directorates at DoD and DHS.

Jerry has several years of experience teaching a wide variety of college-level mathematics and statistics courses and has a passion for education. He also enjoys golfing, biking, and writing about sports from an analytics point of view. He lives in Alexandria, Virginia with his wife, son, and two dogs.

Jerry holds B.S., Ed. and M.S., Mathematics degrees from Ohio University and an M.S. in Operations Research and Statistics from The University of North Carolina at Chapel Hill.

Caroline holds a Master of Business Analytics from MIT Sloan School of Management's Operations Research Center and a B.A. in Mathematics and Economics from Kenyon College. Prior to joining Gurobi, she worked at Pfizer, where she managed cross-functional teams of data scientists and developers to create and deploy custom mathematical optimization solutions for manufacturing operations. Her work involved building optimization models to automate scheduling, improve production planning, manage inventory levels, and reduce material waste. Caroline is passionate about leveraging data science and optimization techniques to solve challenging business problems that drive real impact and value. Outside of her professional work, Caroline enjoys staying active through running, cycling, and hiking. She also has a passion for puzzles, both the jigsaw variety and the New York Times daily games.