Webinar
Mathematical Programming and the Buzzword Jungle
Mathematical programming, a technology that started more than 70 years ago on early computers, is quietly at work all around us, touching our lives every day.
Apil 23, 2025
10:00 AM - 11:30 AM PST
Webinar
Mathematical Programming and the Buzzword Jungle
Mathematical programming, a technology that started more than 70 years ago on early computers, is quietly at work all around us, touching our lives every day.
Apil 23, 2025
10:00 AM - 11:30 AM PST
Webinar
Mathematical Programming and the Buzzword Jungle
Mathematical programming, a technology that started more than 70 years ago on early computers, is quietly at work all around us, touching our lives every day.
Apil 23, 2025
10:00 AM - 11:30 AM PST
Event Recap
Data science, machine learning, artificial intelligence, and quantum computing have been the subject of much publicity in recent years. While quantum computing is still more in a developmental phase, the other three are already used extensively in industry and other operations. Meanwhile, mathematical programming, a technology that started more than 70 years ago on early computers, is quietly at work all around us, touching our lives every day.
Because mathematical programming remains behind the scenes and less publicly visible, a false impression can emerge that it is a separate technology that competes with these other, more well-known technologies, or that it has even been made obsolete by them. This is indeed a misconception, as evidenced by the steady increase in its use over the last few decades across a growing number of industries.
In this webinar hosted by Gurobi’s Dr. Ed Klotz, Senior Mathematical Optimization Specialist, and Jerry Yurchisin, Senior Data Science Strategist, they explore:
The complementary relationship between data science, AI, machine learning, and mathematical programming
How data science and machine learning can enhance mathematical programming models
How mathematical programming skills can position you for the quantum future
Event Recap
Data science, machine learning, artificial intelligence, and quantum computing have been the subject of much publicity in recent years. While quantum computing is still more in a developmental phase, the other three are already used extensively in industry and other operations. Meanwhile, mathematical programming, a technology that started more than 70 years ago on early computers, is quietly at work all around us, touching our lives every day.
Because mathematical programming remains behind the scenes and less publicly visible, a false impression can emerge that it is a separate technology that competes with these other, more well-known technologies, or that it has even been made obsolete by them. This is indeed a misconception, as evidenced by the steady increase in its use over the last few decades across a growing number of industries.
In this webinar hosted by Gurobi’s Dr. Ed Klotz, Senior Mathematical Optimization Specialist, and Jerry Yurchisin, Senior Data Science Strategist, they explore:
The complementary relationship between data science, AI, machine learning, and mathematical programming
How data science and machine learning can enhance mathematical programming models
How mathematical programming skills can position you for the quantum future
Event Recap
Data science, machine learning, artificial intelligence, and quantum computing have been the subject of much publicity in recent years. While quantum computing is still more in a developmental phase, the other three are already used extensively in industry and other operations. Meanwhile, mathematical programming, a technology that started more than 70 years ago on early computers, is quietly at work all around us, touching our lives every day.
Because mathematical programming remains behind the scenes and less publicly visible, a false impression can emerge that it is a separate technology that competes with these other, more well-known technologies, or that it has even been made obsolete by them. This is indeed a misconception, as evidenced by the steady increase in its use over the last few decades across a growing number of industries.
In this webinar hosted by Gurobi’s Dr. Ed Klotz, Senior Mathematical Optimization Specialist, and Jerry Yurchisin, Senior Data Science Strategist, they explore:
The complementary relationship between data science, AI, machine learning, and mathematical programming
How data science and machine learning can enhance mathematical programming models
How mathematical programming skills can position you for the quantum future
Speakers
Meet Your Expert Speakers
Learn from the best in the industry.
Ed Klotz
Senior Mathematical Optimization Specialist
Dr. Ed Klotz has over 30 years of experience in the mathematical optimization software industry. He is a technical expert who, over the course of his career, has worked with a wide array of customers to help them solve some of world’s most challenging mathematical optimization problems. In his role as a Senior Mathematical Optimization Specialist on the Gurobi R&D team, Dr. Klotz works closely with our customers to support them in implementing and utilizing mathematical optimization in their organizations. He also interacts heavily with the R&D team based on his experiences with the customers.
Prior to joining Gurobi, Dr. Klotz was a member of the CPLEX development team of IBM. He was involved in product development, customer training, product documentation, and numerous other tasks, with a primary focus on delivering CPLEX customer support and leveraging his experiences with customers to help inform the R&D team about customer needs and product improvements. Dr. Klotz has extensive knowledge in linear programming, integer programming, and numerical linear algebra for finite precision computing. Using this knowledge, he was able to investigate customer support issues at the source code level and identify potential improvements in CPLEX, both in terms of performance and accuracy of computation.
Before joining IBM, Dr. Klotz was a principal technical support engineer at ILOG, Inc., and a mathematical programming specialist at CPLEX Optimization, Inc.
Dr. Klotz has presented at numerous conferences, workshops, and web seminars and published numerous papers on mathematical optimization. His interests are in all aspects of mathematical programming, with a primary interest in research that can impact mathematical programming software. He obtained a BA in Math and Economics from Oberlin College and a PhD in Operations Research from Stanford University.
Jerry Yurchisin
Senior Data Science Strategist
Mr. Yurchisin has over ten years’ experience applying operations research, machine learning, statistics, and data visualization to improve decision making. Before joining Gurobi, Jerry (who also goes by Jerome) was a Senior Consultant at OnLocation, Inc. where he customized several linear programming models within the National Energy Modeling System (NEMS) to analyze implementing specific energy policies and utilizing new technologies.
Prior to OnLocation, Jerry was an Operations Research Analyst & Data Scientist at Booz Allen Hamilton for over seven years. There he formulated scheduling and staffing integer programming models for the US Coast Guard, as well as led a project to quantify the maritime risks of offshore energy installations with the Research & Development Center. Further, Jerry was the technical lead on several Coast Guard studies including Living Marine Resources and Maritime Domain Awareness, providing statistical analysis and building supervised and unsupervised machine learning models. He also performed statistical analyses, machine learning modeling, and data visualization for cyberspace directorates at DoD and DHS.
Jerry has several years of experience teaching a wide variety of college-level mathematics and statistics courses and has a passion for education. He also enjoys golfing, biking, and writing about sports from an analytics point of view. He lives in Alexandria, Virginia with his wife, son, and two dogs.
Jerry holds B.S., Ed. and M.S., Mathematics degrees from Ohio University and an M.S. in Operations Research and Statistics from The University of North Carolina at Chapel Hill.
Speakers
Meet Your Expert Speakers
Learn from the best in the industry.
Ed Klotz
Senior Mathematical Optimization Specialist
Dr. Ed Klotz has over 30 years of experience in the mathematical optimization software industry. He is a technical expert who, over the course of his career, has worked with a wide array of customers to help them solve some of world’s most challenging mathematical optimization problems. In his role as a Senior Mathematical Optimization Specialist on the Gurobi R&D team, Dr. Klotz works closely with our customers to support them in implementing and utilizing mathematical optimization in their organizations. He also interacts heavily with the R&D team based on his experiences with the customers.
Prior to joining Gurobi, Dr. Klotz was a member of the CPLEX development team of IBM. He was involved in product development, customer training, product documentation, and numerous other tasks, with a primary focus on delivering CPLEX customer support and leveraging his experiences with customers to help inform the R&D team about customer needs and product improvements. Dr. Klotz has extensive knowledge in linear programming, integer programming, and numerical linear algebra for finite precision computing. Using this knowledge, he was able to investigate customer support issues at the source code level and identify potential improvements in CPLEX, both in terms of performance and accuracy of computation.
Before joining IBM, Dr. Klotz was a principal technical support engineer at ILOG, Inc., and a mathematical programming specialist at CPLEX Optimization, Inc.
Dr. Klotz has presented at numerous conferences, workshops, and web seminars and published numerous papers on mathematical optimization. His interests are in all aspects of mathematical programming, with a primary interest in research that can impact mathematical programming software. He obtained a BA in Math and Economics from Oberlin College and a PhD in Operations Research from Stanford University.
Jerry Yurchisin
Senior Data Science Strategist
Mr. Yurchisin has over ten years’ experience applying operations research, machine learning, statistics, and data visualization to improve decision making. Before joining Gurobi, Jerry (who also goes by Jerome) was a Senior Consultant at OnLocation, Inc. where he customized several linear programming models within the National Energy Modeling System (NEMS) to analyze implementing specific energy policies and utilizing new technologies.
Prior to OnLocation, Jerry was an Operations Research Analyst & Data Scientist at Booz Allen Hamilton for over seven years. There he formulated scheduling and staffing integer programming models for the US Coast Guard, as well as led a project to quantify the maritime risks of offshore energy installations with the Research & Development Center. Further, Jerry was the technical lead on several Coast Guard studies including Living Marine Resources and Maritime Domain Awareness, providing statistical analysis and building supervised and unsupervised machine learning models. He also performed statistical analyses, machine learning modeling, and data visualization for cyberspace directorates at DoD and DHS.
Jerry has several years of experience teaching a wide variety of college-level mathematics and statistics courses and has a passion for education. He also enjoys golfing, biking, and writing about sports from an analytics point of view. He lives in Alexandria, Virginia with his wife, son, and two dogs.
Jerry holds B.S., Ed. and M.S., Mathematics degrees from Ohio University and an M.S. in Operations Research and Statistics from The University of North Carolina at Chapel Hill.
Speakers
Meet Your Expert Speakers
Learn from the best in the industry.
Senior Mathematical Optimization Specialist
Ed Klotz
Dr. Ed Klotz has over 30 years of experience in the mathematical optimization software industry. He is a technical expert who, over the course of his career, has worked with a wide array of customers to help them solve some of world’s most challenging mathematical optimization problems. In his role as a Senior Mathematical Optimization Specialist on the Gurobi R&D team, Dr. Klotz works closely with our customers to support them in implementing and utilizing mathematical optimization in their organizations. He also interacts heavily with the R&D team based on his experiences with the customers.
Prior to joining Gurobi, Dr. Klotz was a member of the CPLEX development team of IBM. He was involved in product development, customer training, product documentation, and numerous other tasks, with a primary focus on delivering CPLEX customer support and leveraging his experiences with customers to help inform the R&D team about customer needs and product improvements. Dr. Klotz has extensive knowledge in linear programming, integer programming, and numerical linear algebra for finite precision computing. Using this knowledge, he was able to investigate customer support issues at the source code level and identify potential improvements in CPLEX, both in terms of performance and accuracy of computation.
Before joining IBM, Dr. Klotz was a principal technical support engineer at ILOG, Inc., and a mathematical programming specialist at CPLEX Optimization, Inc.
Dr. Klotz has presented at numerous conferences, workshops, and web seminars and published numerous papers on mathematical optimization. His interests are in all aspects of mathematical programming, with a primary interest in research that can impact mathematical programming software. He obtained a BA in Math and Economics from Oberlin College and a PhD in Operations Research from Stanford University.
Senior Data Science Strategist
Jerry Yurchisin
Mr. Yurchisin has over ten years’ experience applying operations research, machine learning, statistics, and data visualization to improve decision making. Before joining Gurobi, Jerry (who also goes by Jerome) was a Senior Consultant at OnLocation, Inc. where he customized several linear programming models within the National Energy Modeling System (NEMS) to analyze implementing specific energy policies and utilizing new technologies.
Prior to OnLocation, Jerry was an Operations Research Analyst & Data Scientist at Booz Allen Hamilton for over seven years. There he formulated scheduling and staffing integer programming models for the US Coast Guard, as well as led a project to quantify the maritime risks of offshore energy installations with the Research & Development Center. Further, Jerry was the technical lead on several Coast Guard studies including Living Marine Resources and Maritime Domain Awareness, providing statistical analysis and building supervised and unsupervised machine learning models. He also performed statistical analyses, machine learning modeling, and data visualization for cyberspace directorates at DoD and DHS.
Jerry has several years of experience teaching a wide variety of college-level mathematics and statistics courses and has a passion for education. He also enjoys golfing, biking, and writing about sports from an analytics point of view. He lives in Alexandria, Virginia with his wife, son, and two dogs.
Jerry holds B.S., Ed. and M.S., Mathematics degrees from Ohio University and an M.S. in Operations Research and Statistics from The University of North Carolina at Chapel Hill.
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Explore What's Possible with Optimization
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Register Now
Explore What's Possible with Optimization
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Register Now
Explore What's Possible with Optimization
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
