In-Person event

2025 INFORMS Analytics+ Conference

April 6 - 8, 2025

Indianopolis

In-Person event

2025 INFORMS Analytics+ Conference

April 6 - 8, 2025

Indianopolis

In-Person event

2025 INFORMS Analytics+ Conference

April 6 - 8, 2025

Indianopolis

Gurobi Optimization is excited to be a Platinum sponsor and presenter at the 2025 INFORMS Business Analytics Conference. Join us in Indianapolis to:

Learn about the new features and performance enhancements in the Gurobi Optimizer 12.0.

Chat with our optimization experts.

Play The Burrito Optimization Game.

Meet the Gurobi team at Booth #317

 

Gurobi Pre-Conference Workshop

Session: What’s New in Gurobi 12.0: Defining, Solving, and Explaining Optimization Models and Solutions

Presenters: Xavier Nodet (Development Manager) and Dr. Alison Cozad (Optimization Support Manager), Gurobi Optimization

Location: Room 203

Time: 3:00 – 4:45 PM​

Date: Sunday April 6, 2025

Details: This workshop will cover two key topics: the Gurobi 12.0 release and how to both build optimization models with AI and use Gurobi’s built-in tools to enhance solution explainability.​

We’ll begin with a review of Gurobi 12.0, highlighting performance improvements and enhancements to the global MINLP solver, first introduced in version 11.0. A key advancement is support for compound multivariate nonlinear expressions, eliminating the need for auxiliary variables and constraints.​

Next, we’ll focus on improving the entire process—from problem definition to solution explanation. We’ll start with Gurobi AI Modeling, a set of resources to help develop optimization problems and to learn modeling while navigating common pitfalls. But building a model is just the first step—understanding its solutions is just as important. We’ll explore Gurobi’s features through the lens of solution explainability, including Solution Pools, Multi-Scenario Analysis, and Infeasibility Analysis, and how they help users interpret and trust their solutions. By showing you how to use both AI-assisted modeling and tools for solution interpretability, we’ll demonstrate how to make optimization more accessible and actionable.​

 

Gurobi Technology Showcase

Session: Optimizing’ Optimization: Generative AI Tools for Beginners and Gurobi Experts

Presenters: Dr. Cara Touretzky (Senior Technical Account Manager) and Jerry Yurchisin (Senior Data Science Strategist), Gurobi Optimization

Location: Room 201

Time: 9:10 - 10:00am​

Date: Monday April 7, 2025

Details: Generative AI based tools are being positioned to transform the workflows surrounding mathematical optimization. At Gurobi, we want to leverage new opportunities in this space while still honoring the importance of studying and practicing classical model development techniques. Designed with new learners in mind, we’ll walk you through a comprehensive documentation site on using LLMs for modeling and introduce two custom GPT tools—the Prompt Engineer and the Modeling Assistant—that lower the barrier to learning optimization modeling and build your confidence.

For those with advanced expertise, we also present Gurobot, a specialized GPT crafted for Gurobi experts to tackle complex optimization challenges. Throughout this discussion we will review model validation strategies, as these are critical for both verifying the usefulness of GenAI tool output and developing skills as a model developer. Whether you're starting your optimization journey or fine-tuning your skills, discover how these innovative AI resources can streamline your workflow and unlock new levels of efficiency.

Gurobi Optimization is excited to be a Platinum sponsor and presenter at the 2025 INFORMS Business Analytics Conference. Join us in Indianapolis to:

Learn about the new features and performance enhancements in the Gurobi Optimizer 12.0.

Chat with our optimization experts.

Play The Burrito Optimization Game.

Meet the Gurobi team at Booth #317

 

Gurobi Pre-Conference Workshop

Session: What’s New in Gurobi 12.0: Defining, Solving, and Explaining Optimization Models and Solutions

Presenters: Xavier Nodet (Development Manager) and Dr. Alison Cozad (Optimization Support Manager), Gurobi Optimization

Location: Room 203

Time: 3:00 – 4:45 PM​

Date: Sunday April 6, 2025

Details: This workshop will cover two key topics: the Gurobi 12.0 release and how to both build optimization models with AI and use Gurobi’s built-in tools to enhance solution explainability.​

We’ll begin with a review of Gurobi 12.0, highlighting performance improvements and enhancements to the global MINLP solver, first introduced in version 11.0. A key advancement is support for compound multivariate nonlinear expressions, eliminating the need for auxiliary variables and constraints.​

Next, we’ll focus on improving the entire process—from problem definition to solution explanation. We’ll start with Gurobi AI Modeling, a set of resources to help develop optimization problems and to learn modeling while navigating common pitfalls. But building a model is just the first step—understanding its solutions is just as important. We’ll explore Gurobi’s features through the lens of solution explainability, including Solution Pools, Multi-Scenario Analysis, and Infeasibility Analysis, and how they help users interpret and trust their solutions. By showing you how to use both AI-assisted modeling and tools for solution interpretability, we’ll demonstrate how to make optimization more accessible and actionable.​

 

Gurobi Technology Showcase

Session: Optimizing’ Optimization: Generative AI Tools for Beginners and Gurobi Experts

Presenters: Dr. Cara Touretzky (Senior Technical Account Manager) and Jerry Yurchisin (Senior Data Science Strategist), Gurobi Optimization

Location: Room 201

Time: 9:10 - 10:00am​

Date: Monday April 7, 2025

Details: Generative AI based tools are being positioned to transform the workflows surrounding mathematical optimization. At Gurobi, we want to leverage new opportunities in this space while still honoring the importance of studying and practicing classical model development techniques. Designed with new learners in mind, we’ll walk you through a comprehensive documentation site on using LLMs for modeling and introduce two custom GPT tools—the Prompt Engineer and the Modeling Assistant—that lower the barrier to learning optimization modeling and build your confidence.

For those with advanced expertise, we also present Gurobot, a specialized GPT crafted for Gurobi experts to tackle complex optimization challenges. Throughout this discussion we will review model validation strategies, as these are critical for both verifying the usefulness of GenAI tool output and developing skills as a model developer. Whether you're starting your optimization journey or fine-tuning your skills, discover how these innovative AI resources can streamline your workflow and unlock new levels of efficiency.

Gurobi Optimization is excited to be a Platinum sponsor and presenter at the 2025 INFORMS Business Analytics Conference. Join us in Indianapolis to:

Learn about the new features and performance enhancements in the Gurobi Optimizer 12.0.

Chat with our optimization experts.

Play The Burrito Optimization Game.

Meet the Gurobi team at Booth #317

 

Gurobi Pre-Conference Workshop

Session: What’s New in Gurobi 12.0: Defining, Solving, and Explaining Optimization Models and Solutions

Presenters: Xavier Nodet (Development Manager) and Dr. Alison Cozad (Optimization Support Manager), Gurobi Optimization

Location: Room 203

Time: 3:00 – 4:45 PM​

Date: Sunday April 6, 2025

Details: This workshop will cover two key topics: the Gurobi 12.0 release and how to both build optimization models with AI and use Gurobi’s built-in tools to enhance solution explainability.​

We’ll begin with a review of Gurobi 12.0, highlighting performance improvements and enhancements to the global MINLP solver, first introduced in version 11.0. A key advancement is support for compound multivariate nonlinear expressions, eliminating the need for auxiliary variables and constraints.​

Next, we’ll focus on improving the entire process—from problem definition to solution explanation. We’ll start with Gurobi AI Modeling, a set of resources to help develop optimization problems and to learn modeling while navigating common pitfalls. But building a model is just the first step—understanding its solutions is just as important. We’ll explore Gurobi’s features through the lens of solution explainability, including Solution Pools, Multi-Scenario Analysis, and Infeasibility Analysis, and how they help users interpret and trust their solutions. By showing you how to use both AI-assisted modeling and tools for solution interpretability, we’ll demonstrate how to make optimization more accessible and actionable.​

 

Gurobi Technology Showcase

Session: Optimizing’ Optimization: Generative AI Tools for Beginners and Gurobi Experts

Presenters: Dr. Cara Touretzky (Senior Technical Account Manager) and Jerry Yurchisin (Senior Data Science Strategist), Gurobi Optimization

Location: Room 201

Time: 9:10 - 10:00am​

Date: Monday April 7, 2025

Details: Generative AI based tools are being positioned to transform the workflows surrounding mathematical optimization. At Gurobi, we want to leverage new opportunities in this space while still honoring the importance of studying and practicing classical model development techniques. Designed with new learners in mind, we’ll walk you through a comprehensive documentation site on using LLMs for modeling and introduce two custom GPT tools—the Prompt Engineer and the Modeling Assistant—that lower the barrier to learning optimization modeling and build your confidence.

For those with advanced expertise, we also present Gurobot, a specialized GPT crafted for Gurobi experts to tackle complex optimization challenges. Throughout this discussion we will review model validation strategies, as these are critical for both verifying the usefulness of GenAI tool output and developing skills as a model developer. Whether you're starting your optimization journey or fine-tuning your skills, discover how these innovative AI resources can streamline your workflow and unlock new levels of efficiency.

Speakers

Meet Your Expert Speaker

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

  • Pawit Singcornrum

    Account Executive, Renewals-Japan

    Image

    Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.


    Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.


    In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing. 

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

Speakers

Meet Your Expert Speaker

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

  • Image

    Account Executive, Renewals-Japan

    Pawit Singcornrum

    Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.


    Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.


    In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing. 

  • Image

    Mathematical Optimization QA Engineer

    David Torres Sanchez

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • Image

    Mathematical Optimization QA Engineer

    David Torres Sanchez

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • Image

    Mathematical Optimization QA Engineer

    David Torres Sanchez

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • Image

    Mathematical Optimization QA Engineer

    David Torres Sanchez

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

Speakers

Meet Your Expert Speaker

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

  • Pawit Singcornrum

    Account Executive, Renewals-Japan

    Image

    Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.


    Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.


    In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing. 

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.