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 webinar December 17, 2024

The Impact and Uses of Generative AI in Optimization: What’s Next?
December 17, 2024

December 17, 2024 at 11 AM EST

An invited panel of experts and academics will discuss how generative AI is being used in optimization, discuss what is ahead for GenAI and optimization, and touch on the potential barriers for adoption.

Meet the Experts

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Dr. Warren Hearnes

Founder
OptiML AI

Dr. Warren Hearnes

Founder
OptiML AI

Dr. Warren Hearnes has held numerous roles in optimization, machine learning (ML), and artificial intelligence (AI), with over 30 years of experience applying these technologies to solve complex business challenges. Most recently, he joined two ventures, OptiML AI and Sportslytx, where he applies his expertise to address industry problems and educate executives on optimization, ML, and AI. He previously served as Chief Data Scientist at Best Buy, where he led a large team of data scientists and spearheaded the development of the company’s AI strategy. Warren is a veteran of the U.S. Army. He holds a BS from West Point (1989), and an MS and PhD from Georgia Tech (1999), where his research focused on reinforcement learning for robotic control, funded by the National Science Foundation and NASA. 

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Dr. Can Li

Assistant Professor
Purdue University

Dr. Can Li

Assistant Professor
Purdue University

Can obtained his bachelor’s degree from Tsinghua University, China, in Chemical Engineering. He completed his PhD in Chemical Engineering at Carnegie Mellon University. His PhD research is focused on stochastic mixed-integer nonlinear programming and long-term expansion planning of power systems. Can did a one-year Postdoc at Polytechnique Montreal on using machine learning techniques to accelerate optimization algorithms. He joined the Davidson School of Chemical Engineering at Purdue University as an assistant professor in the Fall of 2022. His research group is focused on optimization, machine learning, and applications in sustainable energy systems. His group won Air Liquide’s global scientific challenge on data sharing for decarbonization in 2023 and the Amazon Research Award in 2024.

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Dr. Irv Lustig

Optimization Principal
Princeton Consultants

Dr. Irv Lustig

Optimization Principal
Princeton Consultants

Irv leads the development of custom optimization software. An internationally recognized leader in operations research and advanced analytics, Irv joined Princeton Consultants from IBM Research, where he cultivated state-of-the-art approaches for the next generation of optimization/business integration. Irv received Sc.B. and Sc.M. degrees in Applied Mathematics/Computer Science from Brown University and a Ph.D. in Operations Research from Stanford University, where he studied under George Dantzig, the father of linear programming. He has authored more than 30 articles and scientific papers and has received the Beale-Orchard-Hays prize for excellence in computational mathematical programming. Irv is a longtime active member of INFORMS and a Certified Analytics Professional.

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Jerry Yurchisin

Data Science Strategist
Gurobi Optimization

Jerry Yurchisin

Data Science Strategist
Gurobi Optimization

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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Thomas Braam

Senior DevOps Engineer
Gurobi Optimization

Thomas Braam

Senior DevOps Engineer
Gurobi Optimization

Thomas Braam studied Bioinformatics & Systems Biology at the University of Amsterdam. It was here, and at the University of Oxford where he utilized linear optimization to simulate cellular metabolism through a process named Flux Balance Analysis. He has since worked as a Data Engineer in Taiwan and as a CI/CD Engineer in ASML, The Netherlands. In August 2021 he joined the development team at Gurobi as a CI/CD Engineer. Thomas enjoys a good light roast coffee, history and reading.