Joan Walker is Department Chair and Professor of Civil and Environmental Engineering at UC Berkeley. Walker’s research focuses on behavioral modeling, with expertise in discrete choice analysis and travel behavior. She works to improve the models that are used for transportation planning, policy, and operations. Walker is also a member of several professional organizations, including the Transportation Research Board of the National Academies and the Journal Editorial Boards. Walker has also received the Presidential Early Career Award for Scientists and Engineers (PECASE) – the highest honor bestowed by the U.S. government on scientists and engineers beginning their independent careers and serves as the Chair of the Committee on Transportation Demand Forecasting (ADB40) for the Transportation Research Board of the National Academies. 

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Pierluigi Coppola, Ph.D. in Road Infrastructure and Transportation Systems, is Full Professor of Transportation Planning at the Politecnico di Milano. His research interests cover the main topics of transportation system theory, notably travel behavior modeling and assessment of infrastructure and innovative transportation technologies. He is author of about 150 scientific papers in journals and conference proceedings, and member of worldwide academic associations and editorial boards of research journals.
Prof. Coppola has been involved in several transportation projects, in Italy and Europe. He is expert advisor of the Italian Ministry of Infrastructure and Transport and Coordinator of the Pillar 2 (Transport) of the European Strategy of the Adriatic-Ionian Region (EUSAIR).

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Katri Nousiainen
Katri Nousiainen

Lead Instructor

Professor Katri L. Nousiainen is a lawyer and a professional in emerging technologies, economics and legal education. In addition, she is affiliated faculty with the Yale Law School, Information Society Project (ISP) as an ISP Fellow; the University of Cambridge Law (the United Kingdom) as a Research Scholar; and Hanken School of Economics (Finland) as a Teaching and Research Faculty. Besides, she is a Teaching Faculty at Harvard University. 

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Law and Technology is a three-day, live online MIT Professional Education course that teaches technologists the critical legal frameworks behind the products they build. You will learn to navigate intellectual property, data privacy, AI regulation, and cybersecurity law using real-world scenarios, allowing you to turn legal requirements into a design input rather than a late-stage roadblock.

Andrew Maloney
Andrew Maloney

Andrew J. Maloney is a Process Development Scientist in the Bioprocess Sciences and Technology Group at Amgen.  He obtained a Bachelor of Science degree in chemical engineering from West Virginia University in 2016, a Master of Chemical Engineering Practice degree in chemical engineering from the Massachusetts Institute of Technology in 2018, and a Ph.D. degree from MIT, in 2021.  At MIT, he worked under the supervision of Prof. Richard D. Braatz on the development of process models and control strategies for the manufacturing of pharmaceuticals. After MIT, Andy joined Amgen as a process development scientist. His group works on late-stage process development for biological products. Outside of work Andy enjoys baking, cooking, reading, and board games.   
 

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Amanda Lewis
Amanda Lewis

Amanda M. Lewis is the Senior Director of Quality Operations for Moderna’s Individualized Neoantigen Therapy program.  Amanda joined Moderna in Feb 2023 to support this patient specific medicine focused on oncology indications, and has been accountable for building out a team to support Phase 3 studies and commercial readiness.

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Transform how you design, build, and train using the power of virtual and augmented reality. Developing Immersive Technologies for Manufacturing and Design Engineering is a hands-on, project-based course that teaches you how to solve complex industry problems. Whether you are a student or an industry professional, this program gives you the practical skills you need to innovate. 

What would Artificial General Intelligence look like if its first breakthrough were not in language, but in the invention of matter? Join the frontier of superintelligence applied to agentic materials discovery. In this condensed four-day course, you will move beyond static design to master autonomous AI workflows. Through hands-on clinics, you will build multi-agent systems that do not merely predict material properties, but reason, plan, and invent next-generation smart materials - integrating large-scale computational modeling with generative AI to solve complex engineering challenges across scales, from atoms to systems, from concept to physical realization.
This course introduces the modeling and mathematical foundations of modern AI. Starting from essential refreshers in calculus and linear algebra, we build toward the core structures underlying today’s supervised, unsupervised, and generative models. Case studies develop skill in translating real-world problems into the abstract language of modern AI pipelines.
Robert Jackson
Robert Jackson

Since 2004, Rob Jackson has served a Professor in the Department of Mechanical Engineering at Auburn University. He earned his B.S., M.S., and Ph.D. degrees in Mechanical Engineering from the Georgia Institute of Technology. His research focuses on tribology, contact mechanics, electrified contacts, and lubricated bearings—critical areas for advancing mechanical systems and energy efficiency, particularly in electric vehicles (EVs). Professor Jackson directs Auburn’s Tribology Program and created one of the first undergraduate minors in tribology in 2012.

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