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About Us

In-Person event

2026 INFORMS Analytics+ Conference

April 12-14, 2026

9:00 AM

National Harbor, MD

In-Person event

2026 INFORMS Analytics+ Conference

April 12-14, 2026

9:00 AM

National Harbor, MD

In-Person event

2026 INFORMS Analytics+ Conference

April 12-14, 2026

9:00 AM

National Harbor, MD

Why you should attend

Gurobi Optimization is excited to be a Platinum sponsor and presenter at the 2026 INFORMS Analytics+ Conference. Join us in National Harbor, MD to:

Learn about the new features and performance enhancements in Gurobi v.13

Experience and play our new Gurobean optimization game

Hear about the great things coming from the Gurobi AI Innovation Lab

Chat with our optimization experts at multiple speaking sessions (see below).

Why you should attend

Gurobi Optimization is excited to be a Platinum sponsor and presenter at the 2026 INFORMS Analytics+ Conference. Join us in National Harbor, MD to:

Learn about the new features and performance enhancements in Gurobi v.13

Experience and play our new Gurobean optimization game

Hear about the great things coming from the Gurobi AI Innovation Lab

Chat with our optimization experts at multiple speaking sessions (see below).

Why you should attend

Gurobi Optimization is excited to be a Platinum sponsor and presenter at the 2026 INFORMS Analytics+ Conference. Join us in National Harbor, MD to:

Learn about the new features and performance enhancements in Gurobi v.13

Experience and play our new Gurobean optimization game

Hear about the great things coming from the Gurobi AI Innovation Lab

Chat with our optimization experts at multiple speaking sessions (see below).

Meet the Gurobi team at Booth #206

Workshop

Session: Beans, Bots & Better Solutions: A Gurobi Workshop

Presenters: Everett Dutton, Lindsay Montanari, Larry Snyder, Anna Collins, Xavier Nodet

Location: Magnolia 3

Date & Time: Sunday, April 12 | 3:00 pm – 4:45 pm

Details: Join us for an engaging and informative session that highlights the latest innovations and practical techniques across the Gurobi ecosystem. We’llkick off with a brief welcome and agenda overview, along with pointers to other must‑see Gurobi sessions. Next, get introduced to Gurobean, with an overview of its purpose and capabilities from the team behind it. We’ll then dive into heuristics and strategies for finding high‑quality solutions early, focusing on approaches you can apply to improve performance and results in real-world models. The session continues with updates on Gurobot and a walkthrough of other new features, showcasing how these tools can enhance productivity and model understanding. We’ll wrap up with an open Q&A, giving you the chance to ask questions and connect the dots across the topics covered. Whether you’re looking for new tools, practical insights, or what’s coming next, this session offers something for every Gurobi user.

Technology Showcase

Session: AI Innovations in Optimization

Presenters: Caroline Weinberg and Jerry Yurchisin

Location: Camellia 2

Date & Time: Monday, April 13 | 10:00 am – 10:50 am

Details:
The Gurobi AI Innovation Lab is developing numerous methods to integrate AI and Optimization. These include Optimization Proxies to dramatically accelerate times to find good solutions and tools to facilitate both the model creation process and the interpretation of the subsequent optimization results. This presentation will describe results from methods already underway, as well as early findings from methods still in development.

Multi-Vendor Workshop

Session: Understanding the Potential Role of Graphical Processing Units (GPUs) for Linear and Mixed Integer Programming within Industrial Strength Optimization(ISO)

Presenters: Irv Lustig (Moderator), NVIDIA, FICO, Gurobi (Ed Klotz)

Location: Coming Soon

Date & Time: Tuesday, April 14 | 2:30 pm – 4:30 pm

Details: When working on large scale optimization models, keeping the model solvable with enough detail is challenging and critical to successful industrial strength optimization (ISO). Historically this gap is bridged by new advances in optimization which make much larger models still solvable. Two recent advances that are covered in this session are GPUs and the PDHG algorithm whose value for large scale MILP is being investigated. Attendees will leave the session with a basic understanding of GPUs and PDHG, current views on challenges, benefits, and limitations for MILP as well as availability of solvers benefiting from GPUs. There will be speakers from FICO (Xpress), Gurobi, and Nvidia. The moderator is Irv Lustig. Ken Fordyce is organizing the workshop.

Speakers

Meet Your Expert Speakers

Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of optimization.

Everett Dutton
Optimization Strategist
Everett holds a Master’s degree in Industrial and Systems Engineering from The Ohio State University and is a Certified Analytics Professional - Expert (CAP-X). Before joining Gurobi, he developed simulation models at Honda, built machine learning and optimization models at Marathon Petroleum, and helped Ohio Children’s Alliance grow its analytics capabilities. His expertise spans statistical modeling, data analysis, and optimization.
Ed Klotz
Senior Mathematical Optimization Specialist
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.
Xavier Nodet
Senior Product Manager
Xavier Nodet is the Development Manager for Gurobi Optimizer. Since he received his diploma in Computer Science and Operations Research from Université Pierre et Marie Curie, Paris, Xavier has been working in the optimization field. Prior to joining Gurobi, he was the Development Manager for IBM ILOG CPLEX Optimization Studio, and the manager of the CPLEX Development team. Before that, he was a consultant, a consulting team lead, a Development Engineer and a Project Manager at ILOG and then IBM. When he's not with his family, Xavier loves to sing with the Choeur Région Sud, or drive his motorcycle through beautiful sceneries.
Lindsay Montanari
Senior Director of Academic Programs
Lindsay has more than 13 years of experience at the intersection of technology and education. She helped establish and grow Northwestern University’s Master of Science in Analytics, one of the earliest master’s programs built on an applied data science curriculum. She spent 10 years in leadership roles at Columbia, Northwestern, and the University of Chicago. Before joining Gurobi, she led operations at Opex Analytics, an AI-focused firm, where she focused on growth, business development, product launch, and marketing. She holds a Bachelor’s degree in English and Fine Art from Sewanee and a Master’s degree in Nonprofit Management from Columbia.
Jerry Yurchisin
Senior Data Science Strategist
Jerry Yurchisin holds a BS in Education and an MS in Mathematics from Ohio University, and an MS in Operations Research and Statistics from the University of North Carolina at Chapel Hill. He has more than ten years of experience applying operations research, machine learning, statistics, and data visualization to improve decision-making. Before joining Gurobi, he was a Senior Consultant at OnLocation, customizing linear programming models within the National Energy Modeling System. Previously, he spent over seven years at Booz Allen Hamilton as an Operations Research Analyst and Data Scientist, building scheduling and staffing integer programming models for the US Coast Guard and serving as technical lead on several Coast Guard studies.

Speakers

Meet Your Expert Speakers

Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of optimization.

Optimization Strategist
Everett Dutton
Senior Mathematical Optimization Specialist
Ed Klotz
Senior Product Manager
Xavier Nodet
Senior Director of Academic Programs
Lindsay Montanari
Senior Data Science Strategist
Jerry Yurchisin

Speakers

Meet Your Expert Speakers

Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of optimization.

Everett Dutton
Optimization Strategist
Everett holds a Master’s degree in Industrial and Systems Engineering from The Ohio State University and is a Certified Analytics Professional - Expert (CAP-X). Before joining Gurobi, he developed simulation models at Honda, built machine learning and optimization models at Marathon Petroleum, and helped Ohio Children’s Alliance grow its analytics capabilities. His expertise spans statistical modeling, data analysis, and optimization.
Ed Klotz
Senior Mathematical Optimization Specialist
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.
Xavier Nodet
Senior Product Manager
Xavier Nodet is the Development Manager for Gurobi Optimizer. Since he received his diploma in Computer Science and Operations Research from Université Pierre et Marie Curie, Paris, Xavier has been working in the optimization field. Prior to joining Gurobi, he was the Development Manager for IBM ILOG CPLEX Optimization Studio, and the manager of the CPLEX Development team. Before that, he was a consultant, a consulting team lead, a Development Engineer and a Project Manager at ILOG and then IBM. When he's not with his family, Xavier loves to sing with the Choeur Région Sud, or drive his motorcycle through beautiful sceneries.
Lindsay Montanari
Senior Director of Academic Programs
Lindsay has more than 13 years of experience at the intersection of technology and education. She helped establish and grow Northwestern University’s Master of Science in Analytics, one of the earliest master’s programs built on an applied data science curriculum. She spent 10 years in leadership roles at Columbia, Northwestern, and the University of Chicago. Before joining Gurobi, she led operations at Opex Analytics, an AI-focused firm, where she focused on growth, business development, product launch, and marketing. She holds a Bachelor’s degree in English and Fine Art from Sewanee and a Master’s degree in Nonprofit Management from Columbia.
Jerry Yurchisin
Senior Data Science Strategist
Jerry Yurchisin holds a BS in Education and an MS in Mathematics from Ohio University, and an MS in Operations Research and Statistics from the University of North Carolina at Chapel Hill. He has more than ten years of experience applying operations research, machine learning, statistics, and data visualization to improve decision-making. Before joining Gurobi, he was a Senior Consultant at OnLocation, customizing linear programming models within the National Energy Modeling System. Previously, he spent over seven years at Booz Allen Hamilton as an Operations Research Analyst and Data Scientist, building scheduling and staffing integer programming models for the US Coast Guard and serving as technical lead on several Coast Guard studies.