Webinar
Explaining Optimization Problems Using Large Language Models - Dr. Can Li (GDDA replay)
Watch the on-demand session featuring Dr. Can Li, Assistant Professor at Purdue University, originally presented at this year’s Gurobi Days Digital Academic.
October 23, 2025
10:00 AM ET
Webinar
Explaining Optimization Problems Using Large Language Models - Dr. Can Li (GDDA replay)
Watch the on-demand session featuring Dr. Can Li, Assistant Professor at Purdue University, originally presented at this year’s Gurobi Days Digital Academic.
October 23, 2025
10:00 AM ET
Webinar
Explaining Optimization Problems Using Large Language Models - Dr. Can Li (GDDA replay)
Watch the on-demand session featuring Dr. Can Li, Assistant Professor at Purdue University, originally presented at this year’s Gurobi Days Digital Academic.
October 23, 2025
10:00 AM ET
Why you should watch the webinar
Get an overview of recent advances in LLMs and their applications in operations research
Learn how to leverage LLMs to generate and formulate optimization models and develop novel optimization algorithms
Learn about both the opportunities and limitations of applying LLMs in optimization
Why you should watch the webinar
Get an overview of recent advances in LLMs and their applications in operations research
Learn how to leverage LLMs to generate and formulate optimization models and develop novel optimization algorithms
Learn about both the opportunities and limitations of applying LLMs in optimization
Why you should watch the webinar
Get an overview of recent advances in LLMs and their applications in operations research
Learn how to leverage LLMs to generate and formulate optimization models and develop novel optimization algorithms
Learn about both the opportunities and limitations of applying LLMs in optimization
Speaker
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI and optimization.
Can Li
Assistant Professor
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.
Speaker
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI and optimization.
Can Li
Assistant Professor
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.
Speaker
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI and optimization.
Assistant Professor
Can Li
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.
