In-Person event
2024 INFORMS Business Analytics Conference
April 14-16, 2024
3:00 PM – 4:45 PM
In-Person event
2024 INFORMS Business Analytics Conference
April 14-16, 2024
3:00 PM – 4:45 PM
In-Person event
2024 INFORMS Business Analytics Conference
April 14-16, 2024
3:00 PM – 4:45 PM
Gurobi Optimization is excited to be a Platinum sponsor and presenter at the 2024 INFORMS Business Analytics Conference. Join us in Orlando to:
Learn about the new features and performance enhancements in the Gurobi Optimizer 11.0.
Chat with our optimization experts.
Play The Burrito Optimization Game.
Meet the Gurobi team at Booth #206
Gurobi Pre-Conference Workshop
Session:
Gurobi 11.0 - Helping You to Build, Solve and Deploy Optimization Models
Presenters:
Xavier Nodet, Dan Jeffrey, Dr. Jue Xue, and Irv Lustig, Princeton Consultants
Location:
Windsong 1
Time:
3:00 – 4:45 PM
Date:
Sunday, April 14, 2024
Details:
In this workshop, attendees will get a look at our latest product release, Gurobi 11.0—including exciting performance improvements to Gurobi’s core algorithms. We’ll do a walkthrough of Gurobi’s new Mixed-Integer Nonlinear Programming (MINLP) capabilities and highlight features that make the model-building and solving process easier.
In the second half of the workshop, we will show a preview of our new price optimization demo. We will also have special guest Irv Lustig, Optimization Principal at Princeton Consultants, join us, and illustrate best practices for using pandas with Gurobi via examples. Don’t miss this special workshop!
Gurobi Technology Showcase
Session:
Unlocking Profits: Gurobi’s Price Optimization Tutorial
Presenters:
Dr. Jue Xue, Technical Account Manager, Gurobi Optimization
Location:
Windsong 2
Time:
1:50 - 2:40pm
Date:
Monday, April 15, 2024
Details:
This tutorial will explore how mathematical optimization is an invaluable tool to enhance decision-making and how it works seamlessly with machine learning to help problem solvers get the most out of their trained predictive models. In this session, we will deliver:
A brief introduction to math optimization and its use cases.
A new modeling example in action that truly takes you from data to optimal decisions.
An example from Gurobi’s set of ready-to-solve models
We’ll then wrap up by showcasing the valuable training materials Gurobi has available for anyone to use. Don't miss out – let's dive into the world of data-driven decision-making together.
Gurobi Technology Showcase
Session:
New Ways to Solve Non-Linear, Mixed Integer Problems With Gurobi
Presenters:
Dan Jeffrey, Senior Technical Account Manager, Gurobi Optimization
Location:
Windsong 2
Time:
11:30 AM - 12:20 PM
Date:
Tuesday, April 16, 2024
Details:
Gurobi 11 provides new algorithm to solve nonlinear, mixed integer problems. This session will walk through an a Mixed-Integer example that also contains Non-Linear expressions. Gurobi provides two ways to solve these types of problems. This session will cover both -showing how and when to use each one. It will also include a brief discussion of the new MINLP algorithm in Gurobi 11.
Gurobi Optimization is excited to be a Platinum sponsor and presenter at the 2024 INFORMS Business Analytics Conference. Join us in Orlando to:
Learn about the new features and performance enhancements in the Gurobi Optimizer 11.0.
Chat with our optimization experts.
Play The Burrito Optimization Game.
Meet the Gurobi team at Booth #206
Gurobi Pre-Conference Workshop
Session:
Gurobi 11.0 - Helping You to Build, Solve and Deploy Optimization Models
Presenters:
Xavier Nodet, Dan Jeffrey, Dr. Jue Xue, and Irv Lustig, Princeton Consultants
Location:
Windsong 1
Time:
3:00 – 4:45 PM
Date:
Sunday, April 14, 2024
Details:
In this workshop, attendees will get a look at our latest product release, Gurobi 11.0—including exciting performance improvements to Gurobi’s core algorithms. We’ll do a walkthrough of Gurobi’s new Mixed-Integer Nonlinear Programming (MINLP) capabilities and highlight features that make the model-building and solving process easier.
In the second half of the workshop, we will show a preview of our new price optimization demo. We will also have special guest Irv Lustig, Optimization Principal at Princeton Consultants, join us, and illustrate best practices for using pandas with Gurobi via examples. Don’t miss this special workshop!
Gurobi Technology Showcase
Session:
Unlocking Profits: Gurobi’s Price Optimization Tutorial
Presenters:
Dr. Jue Xue, Technical Account Manager, Gurobi Optimization
Location:
Windsong 2
Time:
1:50 - 2:40pm
Date:
Monday, April 15, 2024
Details:
This tutorial will explore how mathematical optimization is an invaluable tool to enhance decision-making and how it works seamlessly with machine learning to help problem solvers get the most out of their trained predictive models. In this session, we will deliver:
A brief introduction to math optimization and its use cases.
A new modeling example in action that truly takes you from data to optimal decisions.
An example from Gurobi’s set of ready-to-solve models
We’ll then wrap up by showcasing the valuable training materials Gurobi has available for anyone to use. Don't miss out – let's dive into the world of data-driven decision-making together.
Gurobi Technology Showcase
Session:
New Ways to Solve Non-Linear, Mixed Integer Problems With Gurobi
Presenters:
Dan Jeffrey, Senior Technical Account Manager, Gurobi Optimization
Location:
Windsong 2
Time:
11:30 AM - 12:20 PM
Date:
Tuesday, April 16, 2024
Details:
Gurobi 11 provides new algorithm to solve nonlinear, mixed integer problems. This session will walk through an a Mixed-Integer example that also contains Non-Linear expressions. Gurobi provides two ways to solve these types of problems. This session will cover both -showing how and when to use each one. It will also include a brief discussion of the new MINLP algorithm in Gurobi 11.
Gurobi Optimization is excited to be a Platinum sponsor and presenter at the 2024 INFORMS Business Analytics Conference. Join us in Orlando to:
Learn about the new features and performance enhancements in the Gurobi Optimizer 11.0.
Chat with our optimization experts.
Play The Burrito Optimization Game.
Meet the Gurobi team at Booth #206
Gurobi Pre-Conference Workshop
Session:
Gurobi 11.0 - Helping You to Build, Solve and Deploy Optimization Models
Presenters:
Xavier Nodet, Dan Jeffrey, Dr. Jue Xue, and Irv Lustig, Princeton Consultants
Location:
Windsong 1
Time:
3:00 – 4:45 PM
Date:
Sunday, April 14, 2024
Details:
In this workshop, attendees will get a look at our latest product release, Gurobi 11.0—including exciting performance improvements to Gurobi’s core algorithms. We’ll do a walkthrough of Gurobi’s new Mixed-Integer Nonlinear Programming (MINLP) capabilities and highlight features that make the model-building and solving process easier.
In the second half of the workshop, we will show a preview of our new price optimization demo. We will also have special guest Irv Lustig, Optimization Principal at Princeton Consultants, join us, and illustrate best practices for using pandas with Gurobi via examples. Don’t miss this special workshop!
Gurobi Technology Showcase
Session:
Unlocking Profits: Gurobi’s Price Optimization Tutorial
Presenters:
Dr. Jue Xue, Technical Account Manager, Gurobi Optimization
Location:
Windsong 2
Time:
1:50 - 2:40pm
Date:
Monday, April 15, 2024
Details:
This tutorial will explore how mathematical optimization is an invaluable tool to enhance decision-making and how it works seamlessly with machine learning to help problem solvers get the most out of their trained predictive models. In this session, we will deliver:
A brief introduction to math optimization and its use cases.
A new modeling example in action that truly takes you from data to optimal decisions.
An example from Gurobi’s set of ready-to-solve models
We’ll then wrap up by showcasing the valuable training materials Gurobi has available for anyone to use. Don't miss out – let's dive into the world of data-driven decision-making together.
Gurobi Technology Showcase
Session:
New Ways to Solve Non-Linear, Mixed Integer Problems With Gurobi
Presenters:
Dan Jeffrey, Senior Technical Account Manager, Gurobi Optimization
Location:
Windsong 2
Time:
11:30 AM - 12:20 PM
Date:
Tuesday, April 16, 2024
Details:
Gurobi 11 provides new algorithm to solve nonlinear, mixed integer problems. This session will walk through an a Mixed-Integer example that also contains Non-Linear expressions. Gurobi provides two ways to solve these types of problems. This session will cover both -showing how and when to use each one. It will also include a brief discussion of the new MINLP algorithm in Gurobi 11.
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
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
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
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
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
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.
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.
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.
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.
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.
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
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
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
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
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
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.
