Webinar
What’s New in Gurobi 10.0
In this webinar, you will get a first look at our product release, Gurobi 10.0.
March 25, 2025
10:00 AM - 11:30 AM PST
Webinar
What’s New in Gurobi 10.0
In this webinar, you will get a first look at our product release, Gurobi 10.0.
March 25, 2025
10:00 AM - 11:30 AM PST
Webinar
What’s New in Gurobi 10.0
In this webinar, you will get a first look at our product release, Gurobi 10.0.
March 25, 2025
10:00 AM - 11:30 AM PST
Event Recap
In this webinar, attendees get a look at Gurobi 10.0. We summarize the performance improvements and highlight some of the underlying algorithmic advances, such as the network simplex algorithm, enhancements in concurrent LP, and optimization based bound tightening.
Moreover, attendees will learn about new features in Gurobi 10.0 like dashboards for the Cluster Manager, flexible deployment via new capabilities of our Web License Service (WLS), as well as a greatly improved matrix-friendly API for gurobipy.
Finally, we briefly introduce a number of open-source Python GitHub repositories that make it even easier to employ Gurobi. These allow the user to incorporate trained machine learning models into MIP model formulations, to simplify working with pandas data, or to analyze and to find the root cause of a numerical issue in an LP or MIP.
A PDF of the webinar slides can be found here.
Event Recap
In this webinar, attendees get a look at Gurobi 10.0. We summarize the performance improvements and highlight some of the underlying algorithmic advances, such as the network simplex algorithm, enhancements in concurrent LP, and optimization based bound tightening.
Moreover, attendees will learn about new features in Gurobi 10.0 like dashboards for the Cluster Manager, flexible deployment via new capabilities of our Web License Service (WLS), as well as a greatly improved matrix-friendly API for gurobipy.
Finally, we briefly introduce a number of open-source Python GitHub repositories that make it even easier to employ Gurobi. These allow the user to incorporate trained machine learning models into MIP model formulations, to simplify working with pandas data, or to analyze and to find the root cause of a numerical issue in an LP or MIP.
A PDF of the webinar slides can be found here.
Event Recap
In this webinar, attendees get a look at Gurobi 10.0. We summarize the performance improvements and highlight some of the underlying algorithmic advances, such as the network simplex algorithm, enhancements in concurrent LP, and optimization based bound tightening.
Moreover, attendees will learn about new features in Gurobi 10.0 like dashboards for the Cluster Manager, flexible deployment via new capabilities of our Web License Service (WLS), as well as a greatly improved matrix-friendly API for gurobipy.
Finally, we briefly introduce a number of open-source Python GitHub repositories that make it even easier to employ Gurobi. These allow the user to incorporate trained machine learning models into MIP model formulations, to simplify working with pandas data, or to analyze and to find the root cause of a numerical issue in an LP or MIP.
A PDF of the webinar slides can be found here.
Speakers
Meet Your Expert Speakers
Learn from the best in the industry.
Tobias Achterberg
Vice President of Research and Development
Dr. Achterberg studied mathematics and computer science at the Technical University of Berlin and the Zuse Institute Berlin. He finished his PhD in mathematics under supervision of Prof. Martin Grötschel in 2007. Dr. Achterberg is the author of SCIP, currently the best academic MIP solver. In addition to numerous publications in scientific journals, he has also received several awards for his dissertation and for SCIP, such as the Beale-Orchard-Hays Prize. From 2006, Dr. Achterberg worked for ILOG/IBM as developer of CPLEX in versions 11 to 12.6. Since 2014 he has been involved as a Senior Developer in the development of the Gurobi Optimizer. In his spare time, Dr. Achterberg likes to play the drums, read books, and play board games. Moreover, he enjoys going to rock and punk rock concerts.
Michel Jaczynski
Vice President of Cloud and Platform R&D
Dr. Michel Jaczynski has 20 years of experience building components, frameworks and Cloud-based services for optimization applications. As the Director of Cloud and Platform R&D with Gurobi, he is responsible for the development of the Gurobi Instant Cloud and the system architecture of the Gurobi Compute Server. Prior to his role at Gurobi, he worked at IBM on the decision optimization Cloud services and application frameworks. He also worked for ILOG on integrating optimization with enterprise software and a framework to optimize semiconductor Fabs operations in near real-time. Over these various positions, he demonstrated his commitment to building scalable, efficient and easy-to-use tools for optimization. Dr. Jaczynski holds a Ph.D. in Computer Science from the University of Nice Sophia-Antipolis, France. In his spare time, he practices traditional Shaolin Kung Fu with his daughter and enjoys traveling.
Jeff Camm
Inmar Presidential Chair in Analytics
Jeffrey D. Camm is the Inmar Presidential Chair in Analytics in the Wake Forest University School of Business. He earned his PhD in Management Science from Clemson University and a BS in Mathematics from Xavier University (Ohio). Prior to joining Wake Forest, Dr. Camm held the Joseph S. Stern Chair in Business Analytics in the Lindner College of Business at the University of Cincinnati, where he holds a lifetime appointment as a Fellow of the Graduate School. He has been a visiting professor at the Tuck School of Business at Dartmouth College and the School of Engineering at Stanford University.
A firm believer in practicing what he preaches, he has consulted for numerous corporations including among others, Procter and Gamble, Owens Corning, GE, Duke Energy, Tyco, Ace Hardware, Starbucks, Road Runner Sports, Brooks Running Shoes and Kroger. His work in supply chain optimization with Procter & Gamble was an Edelman Award Finalist and is credited with helping P&G save over $250,000,000 annually in their North American supply chain. He was co-recipient of the 2025 Association of Environmental and Resource Economists Publication of Enduring Quality Award for the 1998 paper “Species Distributions, Land Values, and Efficient Conservation,” published in Science.
In 2016, Professor Camm received the Kimball Medal for service to the Operations Research profession and in 2017 he was named an INFORMS Fellow. Known for his pragmatic views on optimization and its impact, he has spoken at universities, conferences, and industry events including among others, presentations at Procter & Gamble, Kroger, Duke Energy, and Amazon. He is coauthor of ten textbooks in the areas of business statistics, management science and analytics including the market-leading Business Analytics 5e with Cengage Publishing.
Thiago Serra
Assistant Professor of Business Analytics
Thiago Serra is an Assistant Professor of Business Analytics at the University of Iowa and a consultant for Mitsubishi Electric Research Labs. His scholarship focuses on the theory, practice, and integration of machine learning and mathematical optimization. Previously, he was an assistant professor at Bucknell University, a visiting research scientist at Mitsubishi Electric Research Labs, and an operations research analyst at Petrobras. He has a Ph.D. in operations research from Carnegie Mellon University, from which he received the Gerald L. Thompson Doctoral Dissertation Award in Management Science. He also has a master's degree in computer science from the University of Sao Paulo (USP) and a computer engineering degree from the University of Campinas (Unicamp). He has served the INFORMS Computing Society as vice chair (2022-2023) and chair (2024-2025). He currently serves as an associate editor for the journals International Transactions in Operational Research and INFORMS Journal on Data Science.
Speakers
Meet Your Expert Speakers
Learn from the best in the industry.
Tobias Achterberg
Vice President of Research and Development
Dr. Achterberg studied mathematics and computer science at the Technical University of Berlin and the Zuse Institute Berlin. He finished his PhD in mathematics under supervision of Prof. Martin Grötschel in 2007. Dr. Achterberg is the author of SCIP, currently the best academic MIP solver. In addition to numerous publications in scientific journals, he has also received several awards for his dissertation and for SCIP, such as the Beale-Orchard-Hays Prize. From 2006, Dr. Achterberg worked for ILOG/IBM as developer of CPLEX in versions 11 to 12.6. Since 2014 he has been involved as a Senior Developer in the development of the Gurobi Optimizer. In his spare time, Dr. Achterberg likes to play the drums, read books, and play board games. Moreover, he enjoys going to rock and punk rock concerts.
Michel Jaczynski
Vice President of Cloud and Platform R&D
Dr. Michel Jaczynski has 20 years of experience building components, frameworks and Cloud-based services for optimization applications. As the Director of Cloud and Platform R&D with Gurobi, he is responsible for the development of the Gurobi Instant Cloud and the system architecture of the Gurobi Compute Server. Prior to his role at Gurobi, he worked at IBM on the decision optimization Cloud services and application frameworks. He also worked for ILOG on integrating optimization with enterprise software and a framework to optimize semiconductor Fabs operations in near real-time. Over these various positions, he demonstrated his commitment to building scalable, efficient and easy-to-use tools for optimization. Dr. Jaczynski holds a Ph.D. in Computer Science from the University of Nice Sophia-Antipolis, France. In his spare time, he practices traditional Shaolin Kung Fu with his daughter and enjoys traveling.
Jeff Camm
Inmar Presidential Chair in Analytics
Jeffrey D. Camm is the Inmar Presidential Chair in Analytics in the Wake Forest University School of Business. He earned his PhD in Management Science from Clemson University and a BS in Mathematics from Xavier University (Ohio). Prior to joining Wake Forest, Dr. Camm held the Joseph S. Stern Chair in Business Analytics in the Lindner College of Business at the University of Cincinnati, where he holds a lifetime appointment as a Fellow of the Graduate School. He has been a visiting professor at the Tuck School of Business at Dartmouth College and the School of Engineering at Stanford University.
A firm believer in practicing what he preaches, he has consulted for numerous corporations including among others, Procter and Gamble, Owens Corning, GE, Duke Energy, Tyco, Ace Hardware, Starbucks, Road Runner Sports, Brooks Running Shoes and Kroger. His work in supply chain optimization with Procter & Gamble was an Edelman Award Finalist and is credited with helping P&G save over $250,000,000 annually in their North American supply chain. He was co-recipient of the 2025 Association of Environmental and Resource Economists Publication of Enduring Quality Award for the 1998 paper “Species Distributions, Land Values, and Efficient Conservation,” published in Science.
In 2016, Professor Camm received the Kimball Medal for service to the Operations Research profession and in 2017 he was named an INFORMS Fellow. Known for his pragmatic views on optimization and its impact, he has spoken at universities, conferences, and industry events including among others, presentations at Procter & Gamble, Kroger, Duke Energy, and Amazon. He is coauthor of ten textbooks in the areas of business statistics, management science and analytics including the market-leading Business Analytics 5e with Cengage Publishing.
Thiago Serra
Assistant Professor of Business Analytics
Thiago Serra is an Assistant Professor of Business Analytics at the University of Iowa and a consultant for Mitsubishi Electric Research Labs. His scholarship focuses on the theory, practice, and integration of machine learning and mathematical optimization. Previously, he was an assistant professor at Bucknell University, a visiting research scientist at Mitsubishi Electric Research Labs, and an operations research analyst at Petrobras. He has a Ph.D. in operations research from Carnegie Mellon University, from which he received the Gerald L. Thompson Doctoral Dissertation Award in Management Science. He also has a master's degree in computer science from the University of Sao Paulo (USP) and a computer engineering degree from the University of Campinas (Unicamp). He has served the INFORMS Computing Society as vice chair (2022-2023) and chair (2024-2025). He currently serves as an associate editor for the journals International Transactions in Operational Research and INFORMS Journal on Data Science.
Speakers
Meet Your Expert Speakers
Learn from the best in the industry.
Vice President of Research and Development
Tobias Achterberg
Dr. Achterberg studied mathematics and computer science at the Technical University of Berlin and the Zuse Institute Berlin. He finished his PhD in mathematics under supervision of Prof. Martin Grötschel in 2007. Dr. Achterberg is the author of SCIP, currently the best academic MIP solver. In addition to numerous publications in scientific journals, he has also received several awards for his dissertation and for SCIP, such as the Beale-Orchard-Hays Prize. From 2006, Dr. Achterberg worked for ILOG/IBM as developer of CPLEX in versions 11 to 12.6. Since 2014 he has been involved as a Senior Developer in the development of the Gurobi Optimizer. In his spare time, Dr. Achterberg likes to play the drums, read books, and play board games. Moreover, he enjoys going to rock and punk rock concerts.
Vice President of Cloud and Platform R&D
Michel Jaczynski
Dr. Michel Jaczynski has 20 years of experience building components, frameworks and Cloud-based services for optimization applications. As the Director of Cloud and Platform R&D with Gurobi, he is responsible for the development of the Gurobi Instant Cloud and the system architecture of the Gurobi Compute Server. Prior to his role at Gurobi, he worked at IBM on the decision optimization Cloud services and application frameworks. He also worked for ILOG on integrating optimization with enterprise software and a framework to optimize semiconductor Fabs operations in near real-time. Over these various positions, he demonstrated his commitment to building scalable, efficient and easy-to-use tools for optimization. Dr. Jaczynski holds a Ph.D. in Computer Science from the University of Nice Sophia-Antipolis, France. In his spare time, he practices traditional Shaolin Kung Fu with his daughter and enjoys traveling.
Inmar Presidential Chair in Analytics
Jeff Camm
Jeffrey D. Camm is the Inmar Presidential Chair in Analytics in the Wake Forest University School of Business. He earned his PhD in Management Science from Clemson University and a BS in Mathematics from Xavier University (Ohio). Prior to joining Wake Forest, Dr. Camm held the Joseph S. Stern Chair in Business Analytics in the Lindner College of Business at the University of Cincinnati, where he holds a lifetime appointment as a Fellow of the Graduate School. He has been a visiting professor at the Tuck School of Business at Dartmouth College and the School of Engineering at Stanford University.
A firm believer in practicing what he preaches, he has consulted for numerous corporations including among others, Procter and Gamble, Owens Corning, GE, Duke Energy, Tyco, Ace Hardware, Starbucks, Road Runner Sports, Brooks Running Shoes and Kroger. His work in supply chain optimization with Procter & Gamble was an Edelman Award Finalist and is credited with helping P&G save over $250,000,000 annually in their North American supply chain. He was co-recipient of the 2025 Association of Environmental and Resource Economists Publication of Enduring Quality Award for the 1998 paper “Species Distributions, Land Values, and Efficient Conservation,” published in Science.
In 2016, Professor Camm received the Kimball Medal for service to the Operations Research profession and in 2017 he was named an INFORMS Fellow. Known for his pragmatic views on optimization and its impact, he has spoken at universities, conferences, and industry events including among others, presentations at Procter & Gamble, Kroger, Duke Energy, and Amazon. He is coauthor of ten textbooks in the areas of business statistics, management science and analytics including the market-leading Business Analytics 5e with Cengage Publishing.
Assistant Professor of Business Analytics
Thiago Serra
Thiago Serra is an Assistant Professor of Business Analytics at the University of Iowa and a consultant for Mitsubishi Electric Research Labs. His scholarship focuses on the theory, practice, and integration of machine learning and mathematical optimization. Previously, he was an assistant professor at Bucknell University, a visiting research scientist at Mitsubishi Electric Research Labs, and an operations research analyst at Petrobras. He has a Ph.D. in operations research from Carnegie Mellon University, from which he received the Gerald L. Thompson Doctoral Dissertation Award in Management Science. He also has a master's degree in computer science from the University of Sao Paulo (USP) and a computer engineering degree from the University of Campinas (Unicamp). He has served the INFORMS Computing Society as vice chair (2022-2023) and chair (2024-2025). He currently serves as an associate editor for the journals International Transactions in Operational Research and INFORMS Journal on Data Science.
