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.
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.
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.
Prior to joining Gurobi, Everett developed simulation models at Honda, worked on machine learning and optimization models at Marathon Petroleum, and helped Ohio Children’s Alliance grow its analytics capabilities.
In his free time, Everett enjoys tinkering with anything mechanical, weightlifting, and spending time with his wife and dog.
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 brings over 13 years of experience working at the intersection of technology and education. Prior to Gurobi, Lindsay worked as an Operations leader at Opex Analytics, a product and services firm dedicated to solving complex business problems using the power of Artificial Intelligence. While there, she focused on growth and business development, product launch, and marketing. Lindsay spent 10 years working in various leadership capacities at Universities including Columbia University, Northwestern University, and the University of Chicago. From 2013 to 2017, she worked to establish and grow the Master of Science in Analytics degree at Northwestern University’s School of Engineering, the program was one of the earliest MS degrees focused on an applied data science curriculum. During her time with Northwestern, she managed external relations and corporate relations, helped hire and onboard new faculty and subject-matter experts in various disciplines of analytics, directed recruiting efforts/admissions/student advising, and managed a team of administrative professionals. Prior to Northwestern, she spent over 5 years working in Advancement at Columbia University’s School of Engineering and Applied Science.
She completed her Bachelor’s Degree in English and Fine Art at Sewanee: The University of the South and her Master’s Degree in Nonprofit Management at Columbia University.
Jerry Yurchisin
Senior Data Science Strategist
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.
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
Everett holds a Master’s Degree in Industrial and Systems Engineering from The Ohio State University.
Prior to joining Gurobi, Everett developed simulation models at Honda, worked on machine learning and optimization models at Marathon Petroleum, and helped Ohio Children’s Alliance grow its analytics capabilities.
In his free time, Everett enjoys tinkering with anything mechanical, weightlifting, and spending time with his wife and dog.
Senior Mathematical Optimization Specialist
Ed Klotz
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.
Senior Product Manager
Xavier Nodet
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.
Senior Director of Academic Programs
Lindsay Montanari
Lindsay brings over 13 years of experience working at the intersection of technology and education. Prior to Gurobi, Lindsay worked as an Operations leader at Opex Analytics, a product and services firm dedicated to solving complex business problems using the power of Artificial Intelligence. While there, she focused on growth and business development, product launch, and marketing. Lindsay spent 10 years working in various leadership capacities at Universities including Columbia University, Northwestern University, and the University of Chicago. From 2013 to 2017, she worked to establish and grow the Master of Science in Analytics degree at Northwestern University’s School of Engineering, the program was one of the earliest MS degrees focused on an applied data science curriculum. During her time with Northwestern, she managed external relations and corporate relations, helped hire and onboard new faculty and subject-matter experts in various disciplines of analytics, directed recruiting efforts/admissions/student advising, and managed a team of administrative professionals. Prior to Northwestern, she spent over 5 years working in Advancement at Columbia University’s School of Engineering and Applied Science.
She completed her Bachelor’s Degree in English and Fine Art at Sewanee: The University of the South and her Master’s Degree in Nonprofit Management at Columbia University.
Senior Data Science Strategist
Jerry Yurchisin
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.
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.
Prior to joining Gurobi, Everett developed simulation models at Honda, worked on machine learning and optimization models at Marathon Petroleum, and helped Ohio Children’s Alliance grow its analytics capabilities.
In his free time, Everett enjoys tinkering with anything mechanical, weightlifting, and spending time with his wife and dog.
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 brings over 13 years of experience working at the intersection of technology and education. Prior to Gurobi, Lindsay worked as an Operations leader at Opex Analytics, a product and services firm dedicated to solving complex business problems using the power of Artificial Intelligence. While there, she focused on growth and business development, product launch, and marketing. Lindsay spent 10 years working in various leadership capacities at Universities including Columbia University, Northwestern University, and the University of Chicago. From 2013 to 2017, she worked to establish and grow the Master of Science in Analytics degree at Northwestern University’s School of Engineering, the program was one of the earliest MS degrees focused on an applied data science curriculum. During her time with Northwestern, she managed external relations and corporate relations, helped hire and onboard new faculty and subject-matter experts in various disciplines of analytics, directed recruiting efforts/admissions/student advising, and managed a team of administrative professionals. Prior to Northwestern, she spent over 5 years working in Advancement at Columbia University’s School of Engineering and Applied Science.
She completed her Bachelor’s Degree in English and Fine Art at Sewanee: The University of the South and her Master’s Degree in Nonprofit Management at Columbia University.
Jerry Yurchisin
Senior Data Science Strategist
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.
