In-Person event
ODSC East 2025
May 13-15, 2025
Boston, Massachussets
In-Person event
ODSC East 2025
May 13-15, 2025
Boston, Massachussets
In-Person event
ODSC East 2025
May 13-15, 2025
Boston, Massachussets
Gurobi is thrilled to announce our sponsorship and exhibit booth at ODSC East, happening in Boston, Massachusetts, from May 13-15, 2025. This is your exclusive invitation to connect, network, and collaborate with us at the forefront of innovation and technology.
Don’t miss this incredible opportunity to elevate your data science career, gain new insights around mathematical optimization, and be part of a community that’s shaping the future of data science. Whether you’re a seasoned professional or just starting out, there’s something for everyone at ODSC East.
Stop by Booth #23 to connect with the Gurobi team and check out our giveaways!
Don't miss the Gurobi team and our partners in the following presentations:
Expo Talk
Session: Transform Predictions into Actionable, Explainable Decisions using Optimization
Presenters: Jennifer Locke, Manager - Americas Technical Account Management, & Summer Purschke, Technical Account Manager
Location: Expo Hall
Time: 12:15 -12:45 PM
Date: May 13, 2025
Details: Organizations have been investing heavily in traditional machine learning (ML), deep learning, and now generative AI (GenAI). However, truly impactful decision intelligence solves the most complex business problems using more than accurate predictions or multimodal content generation—it demands fast, scalable, and explainable decision-making. By integrating mathematical optimization into their Composite AI frameworks, businesses can unlock provably unmatched efficiency, with the ability to explain decisions and scalability required for smarter, more reliable outcomes.
Workshop
Session: AI + Mathematical Optimization: Build Smarter Decision-Making Models
Presenters: Yash Puranik, Director of Decision Sciences, Aimpoint
Location: Room 209
Time: 2:00 - 3:00 PM
Date: May 13, 2025
Details: In the world of data science, teams are often deeply familiar with statistical and machine learning techniques. With the rapid rise of AI—especially generative AI—the scope of solvable problems has expanded dramatically. However, one powerful yet often overlooked tool remains crucial for tackling complex decision-making challenges: mathematical optimization.
While AI-driven techniques like deep learning and reinforcement learning have dominated recent advancements, mathematical optimization offers a transparent, robust and highly efficient approach to solving constrained decision problems. Unlike traditional machine learning, which focuses on predictive analytics, mathematical optimization is prescriptive— it enables organizations to make optimal decisions while adhering to business constraints and operational rules. Mathematical optimization has been successfully applied across industries for decades, offering robust solutions where AI and machine learning alone may fall short, yet remains underutilized in modern AI-driven workflows.
Gurobi is thrilled to announce our sponsorship and exhibit booth at ODSC East, happening in Boston, Massachusetts, from May 13-15, 2025. This is your exclusive invitation to connect, network, and collaborate with us at the forefront of innovation and technology.
Don’t miss this incredible opportunity to elevate your data science career, gain new insights around mathematical optimization, and be part of a community that’s shaping the future of data science. Whether you’re a seasoned professional or just starting out, there’s something for everyone at ODSC East.
Stop by Booth #23 to connect with the Gurobi team and check out our giveaways!
Don't miss the Gurobi team and our partners in the following presentations:
Expo Talk
Session: Transform Predictions into Actionable, Explainable Decisions using Optimization
Presenters: Jennifer Locke, Manager - Americas Technical Account Management, & Summer Purschke, Technical Account Manager
Location: Expo Hall
Time: 12:15 -12:45 PM
Date: May 13, 2025
Details: Organizations have been investing heavily in traditional machine learning (ML), deep learning, and now generative AI (GenAI). However, truly impactful decision intelligence solves the most complex business problems using more than accurate predictions or multimodal content generation—it demands fast, scalable, and explainable decision-making. By integrating mathematical optimization into their Composite AI frameworks, businesses can unlock provably unmatched efficiency, with the ability to explain decisions and scalability required for smarter, more reliable outcomes.
Workshop
Session: AI + Mathematical Optimization: Build Smarter Decision-Making Models
Presenters: Yash Puranik, Director of Decision Sciences, Aimpoint
Location: Room 209
Time: 2:00 - 3:00 PM
Date: May 13, 2025
Details: In the world of data science, teams are often deeply familiar with statistical and machine learning techniques. With the rapid rise of AI—especially generative AI—the scope of solvable problems has expanded dramatically. However, one powerful yet often overlooked tool remains crucial for tackling complex decision-making challenges: mathematical optimization.
While AI-driven techniques like deep learning and reinforcement learning have dominated recent advancements, mathematical optimization offers a transparent, robust and highly efficient approach to solving constrained decision problems. Unlike traditional machine learning, which focuses on predictive analytics, mathematical optimization is prescriptive— it enables organizations to make optimal decisions while adhering to business constraints and operational rules. Mathematical optimization has been successfully applied across industries for decades, offering robust solutions where AI and machine learning alone may fall short, yet remains underutilized in modern AI-driven workflows.
Gurobi is thrilled to announce our sponsorship and exhibit booth at ODSC East, happening in Boston, Massachusetts, from May 13-15, 2025. This is your exclusive invitation to connect, network, and collaborate with us at the forefront of innovation and technology.
Don’t miss this incredible opportunity to elevate your data science career, gain new insights around mathematical optimization, and be part of a community that’s shaping the future of data science. Whether you’re a seasoned professional or just starting out, there’s something for everyone at ODSC East.
Stop by Booth #23 to connect with the Gurobi team and check out our giveaways!
Don't miss the Gurobi team and our partners in the following presentations:
Expo Talk
Session: Transform Predictions into Actionable, Explainable Decisions using Optimization
Presenters: Jennifer Locke, Manager - Americas Technical Account Management, & Summer Purschke, Technical Account Manager
Location: Expo Hall
Time: 12:15 -12:45 PM
Date: May 13, 2025
Details: Organizations have been investing heavily in traditional machine learning (ML), deep learning, and now generative AI (GenAI). However, truly impactful decision intelligence solves the most complex business problems using more than accurate predictions or multimodal content generation—it demands fast, scalable, and explainable decision-making. By integrating mathematical optimization into their Composite AI frameworks, businesses can unlock provably unmatched efficiency, with the ability to explain decisions and scalability required for smarter, more reliable outcomes.
Workshop
Session: AI + Mathematical Optimization: Build Smarter Decision-Making Models
Presenters: Yash Puranik, Director of Decision Sciences, Aimpoint
Location: Room 209
Time: 2:00 - 3:00 PM
Date: May 13, 2025
Details: In the world of data science, teams are often deeply familiar with statistical and machine learning techniques. With the rapid rise of AI—especially generative AI—the scope of solvable problems has expanded dramatically. However, one powerful yet often overlooked tool remains crucial for tackling complex decision-making challenges: mathematical optimization.
While AI-driven techniques like deep learning and reinforcement learning have dominated recent advancements, mathematical optimization offers a transparent, robust and highly efficient approach to solving constrained decision problems. Unlike traditional machine learning, which focuses on predictive analytics, mathematical optimization is prescriptive— it enables organizations to make optimal decisions while adhering to business constraints and operational rules. Mathematical optimization has been successfully applied across industries for decades, offering robust solutions where AI and machine learning alone may fall short, yet remains underutilized in modern AI-driven workflows.
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.
