Carlos Lima Azevedo is an Associate Professor in the Department of Management Engineering at the Technical University of Denmark (DTU). His research focuses on mathematical modeling and simulation of human mobility, smart mobility services, and the development and evaluation of emerging transportation technologies.
He is also a Research Affiliate at the ITS Lab at the Massachusetts Institute of Technology (MIT). Prior to joining DTU, he was a Research Scientist at MIT and served as Executive Director of the Transportation Education Committee. His early career includes roles as a research scholar at LNEC (Portugal) and Senior Postdoctoral Associate at SMART (Singapore).

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Ennio Cascetta is a professor of Transportation Systems Planning at the University of Naples Federico II and a longtime lecturer at MIT. An expert in transport modeling and policy, he has authored influential books and over 150 publications. He has held major leadership roles in Italy’s transport sector, including regional minister, national planner, and president of key transport organizations. He currently leads both Rete Autostrade Mediterranee and Metropolitana di Napoli.

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AI is transforming processes across countless disciplines—and the sciences are no exception. In this high-impact three-day course, you’ll master a range of practical AI skills—including predictive modeling, large language models, and AI-driven experiment planning—to streamline and enhance your scientific research and uncover new insights.

Noelle E. Selin is Professor in the Institute for Data, Systems and Society (IDSS) and the Department of Earth, Atmospheric and Planetary Sciences (EAPS). She served as director of MIT’s Technology and Policy Program from 2018-2023, and as Interim Director of IDSS from 2023-2024. Her research uses modeling and analysis to inform sustainability decision-making, focusing on issues involving air pollution, climate change, and hazardous substances such as mercury.

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AI. Machine learning. GPTs. Data-driven technologies are revolutionizing industries and reshaping how we work and live. While the opportunities these tools offer are profound, so are the challenges—ethical risks that must be addressed to unlock AI’s full societal potential. In this timely, hands-on program, you’ll gain the advanced skills you need to develop and deploy AI systems in ways that are ethical, responsible, and beneficial for all.

Dr. Jacqueline M. Wolfrum is the Codirector of Biomanufacturing@MIT-CBI at the MIT Center for Biomedical Innovation. She also directs BioMAN, an industry-academic consortium focused on innovations and best practices in biomanufacturing, and she manages research activities focused on data analytics in biomanufacturing, continuous manufacturing, and cell therapy manufacturing. 

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AI is transforming processes across countless disciplines—and the sciences are no exception. In this high-impact three-day course, you’ll master a range of practical AI skills—including predictive modeling, large language models, and AI-driven experiment planning—to streamline and enhance your scientific research and uncover new insights.
Leverage powerful AI tools to create products and services that leave a lasting impression—and give your organization a competitive edge in the digital economy. In this dynamic three-day course, you’ll acquire the skills you need to develop AI-driven products that resonate with customers and stakeholders alike, backed by actionable design principles and empathy-driven insights.