In-Person event
2023 Gurobi Days Digital - Academic
August 31, 2023
Gurobi Days Digital
In-Person event
2023 Gurobi Days Digital - Academic
August 31, 2023
Gurobi Days Digital
In-Person event
2023 Gurobi Days Digital - Academic
August 31, 2023
Gurobi Days Digital
You are invited to join us at Gurobi Days Digital - Academic, which will be taking place on August 31, 2023.
In this virtual event, you will learn about innovation in optimization coming out of the academic community, hear about new open educational tools that Gurobi has released for learners and instructors, and have a chance to engage with the community of Gurobi users (both academic and commercial) from around the world.
This year’s free 1-day event for academic and commercial users will feature a morning of brand new sessions, and an afternoon of previously shared sessions that review open educational resources that are available for use in the classroom or for self-guided learning, including:
Part 1: Aug. 31, 2023 - Morning Sessions
Brand New Content and Technical Lectures from Top Academics and Industry Leaders:
Welcome from Gurobi
Live Panel Discussion: How Optimization Can Help You Launch Your Career: The Path from Academia to Industry moderated by Dr. Vijay Mehrotra (featuring top academics and industry leaders)
AI and Optimization for Energy and Supply Chains with Dr. Pascal Van Hentenryck
Gurobi's Open Education Resources & How to Access/Use Them in Your Learning and Instruction: Including Our New ML Python Package and Data Science Examples with Gurobi Experts
Introduction to Optimization through the Lens of Data Science: New Course Intro and Overview with Dr. Joel Sokol
On The Interplay Between Learning And Optimization And Its Effect On MIP Solving with Dr. Andrea Lodi
Part 2: Aug. 31, 2023 - Afternoon Sessions
Part 2 of the Gurobi Days Digital - Academic content includes webinars previously shared in 2022/2023, featuring tutorials and walk-throughs of open education tools that can be used by both students and instructors to help learn and teach optimization.
Where Data Meets Decisions Parts 1 & 2 - Introductions and Walk-throughs of our New Data Science Example Library with Gurobi Data Science Team: Rahul Swamy and Jerry Yurchisin
Gamifying Optimization with the Burrito Optimization Game with Dr. Larry Snyder
Don’t miss this special virtual event!
You are invited to join us at Gurobi Days Digital - Academic, which will be taking place on August 31, 2023.
In this virtual event, you will learn about innovation in optimization coming out of the academic community, hear about new open educational tools that Gurobi has released for learners and instructors, and have a chance to engage with the community of Gurobi users (both academic and commercial) from around the world.
This year’s free 1-day event for academic and commercial users will feature a morning of brand new sessions, and an afternoon of previously shared sessions that review open educational resources that are available for use in the classroom or for self-guided learning, including:
Part 1: Aug. 31, 2023 - Morning Sessions
Brand New Content and Technical Lectures from Top Academics and Industry Leaders:
Welcome from Gurobi
Live Panel Discussion: How Optimization Can Help You Launch Your Career: The Path from Academia to Industry moderated by Dr. Vijay Mehrotra (featuring top academics and industry leaders)
AI and Optimization for Energy and Supply Chains with Dr. Pascal Van Hentenryck
Gurobi's Open Education Resources & How to Access/Use Them in Your Learning and Instruction: Including Our New ML Python Package and Data Science Examples with Gurobi Experts
Introduction to Optimization through the Lens of Data Science: New Course Intro and Overview with Dr. Joel Sokol
On The Interplay Between Learning And Optimization And Its Effect On MIP Solving with Dr. Andrea Lodi
Part 2: Aug. 31, 2023 - Afternoon Sessions
Part 2 of the Gurobi Days Digital - Academic content includes webinars previously shared in 2022/2023, featuring tutorials and walk-throughs of open education tools that can be used by both students and instructors to help learn and teach optimization.
Where Data Meets Decisions Parts 1 & 2 - Introductions and Walk-throughs of our New Data Science Example Library with Gurobi Data Science Team: Rahul Swamy and Jerry Yurchisin
Gamifying Optimization with the Burrito Optimization Game with Dr. Larry Snyder
Don’t miss this special virtual event!
You are invited to join us at Gurobi Days Digital - Academic, which will be taking place on August 31, 2023.
In this virtual event, you will learn about innovation in optimization coming out of the academic community, hear about new open educational tools that Gurobi has released for learners and instructors, and have a chance to engage with the community of Gurobi users (both academic and commercial) from around the world.
This year’s free 1-day event for academic and commercial users will feature a morning of brand new sessions, and an afternoon of previously shared sessions that review open educational resources that are available for use in the classroom or for self-guided learning, including:
Part 1: Aug. 31, 2023 - Morning Sessions
Brand New Content and Technical Lectures from Top Academics and Industry Leaders:
Welcome from Gurobi
Live Panel Discussion: How Optimization Can Help You Launch Your Career: The Path from Academia to Industry moderated by Dr. Vijay Mehrotra (featuring top academics and industry leaders)
AI and Optimization for Energy and Supply Chains with Dr. Pascal Van Hentenryck
Gurobi's Open Education Resources & How to Access/Use Them in Your Learning and Instruction: Including Our New ML Python Package and Data Science Examples with Gurobi Experts
Introduction to Optimization through the Lens of Data Science: New Course Intro and Overview with Dr. Joel Sokol
On The Interplay Between Learning And Optimization And Its Effect On MIP Solving with Dr. Andrea Lodi
Part 2: Aug. 31, 2023 - Afternoon Sessions
Part 2 of the Gurobi Days Digital - Academic content includes webinars previously shared in 2022/2023, featuring tutorials and walk-throughs of open education tools that can be used by both students and instructors to help learn and teach optimization.
Where Data Meets Decisions Parts 1 & 2 - Introductions and Walk-throughs of our New Data Science Example Library with Gurobi Data Science Team: Rahul Swamy and Jerry Yurchisin
Gamifying Optimization with the Burrito Optimization Game with Dr. Larry Snyder
Don’t miss this special virtual event!
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.
