Webinar
Generative AI in Teaching and Research: How Academia Is Adapting (GDDA Replay)
Originally presented at Gurobi Days Digital Academic 2025, this panel explores the evolving role of Generative AI in optimization education and academic research.
March 19, 2026
10:00 AM ET
Webinar
Generative AI in Teaching and Research: How Academia Is Adapting (GDDA Replay)
Originally presented at Gurobi Days Digital Academic 2025, this panel explores the evolving role of Generative AI in optimization education and academic research.
March 19, 2026
10:00 AM ET
Webinar
Generative AI in Teaching and Research: How Academia Is Adapting (GDDA Replay)
Originally presented at Gurobi Days Digital Academic 2025, this panel explores the evolving role of Generative AI in optimization education and academic research.
March 19, 2026
10:00 AM ET
Why you should watch the webinar
Uncover best practices for integrating AI into teaching, student advising, and research workflows
Explore key opportunities and challenges
Gain thoughtful perspectives for educators and researchers navigating this new AI-enabled era
Why you should watch the webinar
Uncover best practices for integrating AI into teaching, student advising, and research workflows
Explore key opportunities and challenges
Gain thoughtful perspectives for educators and researchers navigating this new AI-enabled era
Why you should watch the webinar
Uncover best practices for integrating AI into teaching, student advising, and research workflows
Explore key opportunities and challenges
Gain thoughtful perspectives for educators and researchers navigating this new AI-enabled era
Save your seat to hear from the experts.
Save your seat to hear from the experts.
Save your seat to hear from the experts.
Speakers
Meet Your Expert Speakers
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI.
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.
Laura Albert
Professor Industrial and Systems Engineering
Laura Albert, Ph.D., is a Professor of Industrial & Systems Engineering at the University of Wisconsin-Madison and a thought leader in operations research and analytics. She served as the David H. Gustafson Department Chair from 2021-24 and the President of the Institute for Operations Research and the Management Sciences (INFORMS) in 2023. Dr. Albert’s research focuses on mitigating risks in the public sector through optimization and operations research methodologies, with applications in critical infrastructure protection, public safety, and emergency response. She is a Fellow of both the American Association for the Advancement of Science (AAAS) and the Institute of Industrial and Systems Engineers (IISE). Her work has been recognized with numerous accolades, including the INFORMS Impact Prize, a National Science Foundation CAREER award, and a Fulbright Award. An advocate for public engagement, Dr. Albert has penned several op-eds for national news outlets, and she authors the engineering blogs “Punk Rock Operations Research” and “Badger Bracketology.”
Naser Nikandish
Associate Professor of Practice
Naser Nikandish holds a PhD and MA in Operations, Technology, and Information Management from Cornell University. He received a bachelor's degree in Systems Engineering from Tehran Polytechnic and MSc in Industrial Engineering from Sharif University of Technology, Iran. His research interests include Inventory Management and Capacity Planning.
Thomas Braam
Senior DevOps Engineer
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.
Speakers
Meet Your Expert Speakers
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI.
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.
Laura Albert
Professor Industrial and Systems Engineering
Laura Albert, Ph.D., is a Professor of Industrial & Systems Engineering at the University of Wisconsin-Madison and a thought leader in operations research and analytics. She served as the David H. Gustafson Department Chair from 2021-24 and the President of the Institute for Operations Research and the Management Sciences (INFORMS) in 2023. Dr. Albert’s research focuses on mitigating risks in the public sector through optimization and operations research methodologies, with applications in critical infrastructure protection, public safety, and emergency response. She is a Fellow of both the American Association for the Advancement of Science (AAAS) and the Institute of Industrial and Systems Engineers (IISE). Her work has been recognized with numerous accolades, including the INFORMS Impact Prize, a National Science Foundation CAREER award, and a Fulbright Award. An advocate for public engagement, Dr. Albert has penned several op-eds for national news outlets, and she authors the engineering blogs “Punk Rock Operations Research” and “Badger Bracketology.”
Naser Nikandish
Associate Professor of Practice
Naser Nikandish holds a PhD and MA in Operations, Technology, and Information Management from Cornell University. He received a bachelor's degree in Systems Engineering from Tehran Polytechnic and MSc in Industrial Engineering from Sharif University of Technology, Iran. His research interests include Inventory Management and Capacity Planning.
Thomas Braam
Senior DevOps Engineer
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.
Speakers
Meet Your Expert Speakers
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI.
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.
Professor Industrial and Systems Engineering
Laura Albert
Laura Albert, Ph.D., is a Professor of Industrial & Systems Engineering at the University of Wisconsin-Madison and a thought leader in operations research and analytics. She served as the David H. Gustafson Department Chair from 2021-24 and the President of the Institute for Operations Research and the Management Sciences (INFORMS) in 2023. Dr. Albert’s research focuses on mitigating risks in the public sector through optimization and operations research methodologies, with applications in critical infrastructure protection, public safety, and emergency response. She is a Fellow of both the American Association for the Advancement of Science (AAAS) and the Institute of Industrial and Systems Engineers (IISE). Her work has been recognized with numerous accolades, including the INFORMS Impact Prize, a National Science Foundation CAREER award, and a Fulbright Award. An advocate for public engagement, Dr. Albert has penned several op-eds for national news outlets, and she authors the engineering blogs “Punk Rock Operations Research” and “Badger Bracketology.”
Associate Professor of Practice
Naser Nikandish
Naser Nikandish holds a PhD and MA in Operations, Technology, and Information Management from Cornell University. He received a bachelor's degree in Systems Engineering from Tehran Polytechnic and MSc in Industrial Engineering from Sharif University of Technology, Iran. His research interests include Inventory Management and Capacity Planning.
Senior DevOps Engineer
Thomas Braam
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.
