In-Person event
43rd National Congress of Operations Research and Industrial Engineering (YA/EM)
April 16-18, 2023
In-Person event
43rd National Congress of Operations Research and Industrial Engineering (YA/EM)
April 16-18, 2023
In-Person event
43rd National Congress of Operations Research and Industrial Engineering (YA/EM)
April 16-18, 2023
Gurobi Optimization presented and exhibited at the 2023 INFORMS Business Analytics Conference. We hope you got to: Learn about the new features and performance enhancements in the Gurobi Optimizer 10.0. Chat with our optimization experts. Play The Burrito Optimization Game. Gurobi Technology Workshop: Gurobi 10.0 Helping You to Build, Solve, and Deploy Optimization Models Presented by: Dan Jeffrey, Senior Technical Account Manager – Americas Xavier Nodet, Development Manager Zed Dean, Technical Account Manager – Americas Jerry Yurchisin, Data Science Strategist Presentation materials: View the slides here. Further reading: What's New in Gurobi 10.0? Gurobi Open Source Packages: github.com/Gurobi Jupyter Notebook examples Gurobi Tutorial: Gurobi Machine Learning: Incorporate your Machine Learning Models into Optimization Presented by: Alison Cozad, PhD., Optimization Support Manager Zed Dean, Technical Account Manager – Americas Presentation materials: View the slides here. Student Enrollment Example Further reading: Gurobi Open Source Machine Learning Package (Github repo, documentation) Gurobi Tutorial: Where Data Meets Decisions – An Overview of Our Free Jupyter Notebook Data Science Example Library Presented by: Rahul Swamy, Data Science Intern Jerry Yurchisin, Data Science Strategist Presentation materials: View the slides here. Example 1: Airline Planning After Flight Disruption Example 2: Avocado Price Optimization Further reading: Full list of Jupyter Notebook examples
Gurobi Optimization presented and exhibited at the 2023 INFORMS Business Analytics Conference. We hope you got to: Learn about the new features and performance enhancements in the Gurobi Optimizer 10.0. Chat with our optimization experts. Play The Burrito Optimization Game. Gurobi Technology Workshop: Gurobi 10.0 Helping You to Build, Solve, and Deploy Optimization Models Presented by: Dan Jeffrey, Senior Technical Account Manager – Americas Xavier Nodet, Development Manager Zed Dean, Technical Account Manager – Americas Jerry Yurchisin, Data Science Strategist Presentation materials: View the slides here. Further reading: What's New in Gurobi 10.0? Gurobi Open Source Packages: github.com/Gurobi Jupyter Notebook examples Gurobi Tutorial: Gurobi Machine Learning: Incorporate your Machine Learning Models into Optimization Presented by: Alison Cozad, PhD., Optimization Support Manager Zed Dean, Technical Account Manager – Americas Presentation materials: View the slides here. Student Enrollment Example Further reading: Gurobi Open Source Machine Learning Package (Github repo, documentation) Gurobi Tutorial: Where Data Meets Decisions – An Overview of Our Free Jupyter Notebook Data Science Example Library Presented by: Rahul Swamy, Data Science Intern Jerry Yurchisin, Data Science Strategist Presentation materials: View the slides here. Example 1: Airline Planning After Flight Disruption Example 2: Avocado Price Optimization Further reading: Full list of Jupyter Notebook examples
Gurobi Optimization presented and exhibited at the 2023 INFORMS Business Analytics Conference. We hope you got to: Learn about the new features and performance enhancements in the Gurobi Optimizer 10.0. Chat with our optimization experts. Play The Burrito Optimization Game. Gurobi Technology Workshop: Gurobi 10.0 Helping You to Build, Solve, and Deploy Optimization Models Presented by: Dan Jeffrey, Senior Technical Account Manager – Americas Xavier Nodet, Development Manager Zed Dean, Technical Account Manager – Americas Jerry Yurchisin, Data Science Strategist Presentation materials: View the slides here. Further reading: What's New in Gurobi 10.0? Gurobi Open Source Packages: github.com/Gurobi Jupyter Notebook examples Gurobi Tutorial: Gurobi Machine Learning: Incorporate your Machine Learning Models into Optimization Presented by: Alison Cozad, PhD., Optimization Support Manager Zed Dean, Technical Account Manager – Americas Presentation materials: View the slides here. Student Enrollment Example Further reading: Gurobi Open Source Machine Learning Package (Github repo, documentation) Gurobi Tutorial: Where Data Meets Decisions – An Overview of Our Free Jupyter Notebook Data Science Example Library Presented by: Rahul Swamy, Data Science Intern Jerry Yurchisin, Data Science Strategist Presentation materials: View the slides here. Example 1: Airline Planning After Flight Disruption Example 2: Avocado Price Optimization Further reading: Full list of Jupyter Notebook examples
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.
