Ted Wagner

Ted Wagner is the Chief Information Security Officer for SAP National Security Services (SAP NS2). Ted has led cyber teams employing tactical to strategic capabilities.  His experience includes completing the certification and accreditation process for Agency level programs, including developing curriculum for the Computer Network Operations planner course and establishing a team validation process for deploying cyber teams.

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Stefanie Jegelka is an X-Consortium Career Development Associate Professor in the Department of Electrical Engineering and Computer Science at MIT, where she is a member of CSAIL, and affiliated with IDSS.

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Tommi Jaakkola is a Thomas Siebel Professor of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society. He is also a member of the Computer Science and Artificial Intelligence Laboratory. His work pertains to inferential, algorithmic and estimation questions in machine learning, including large scale probabilistic distributed inference, deep learning, and causal inference.

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Regina Barzilay is a School of Engineering Distinguished Professor for AI and Health in the Department of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology.

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Examine how the latest tools, techniques, and algorithms driving modern and predictive analysis can be applied to produce powerful results, even when using unstructured data. In this highly interactive course, you’ll gain insights into what kinds of problems these methods can and cannot solve, how they can be applied effectively, and what issues are likely to arise in practical applications, particularly in the healthcare field.

Prof. Larson is Mitsui Professor in the MIT Institute for Data, Systems, and Society. He is author, co-author, or editor of six books and author of over 85 articles, primarily in the fields of urban service systems (especially emergency response systems), queueing, logistics, disaster management, disease dynamics, dynamic pricing of critical infrastructures, education, and workforce planning.

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This year, MIT’s Enterprise Additive Manufacturing course coincides with RAPID + TCT, North America’s largest additive manufacturing and industrial 3D printing event, taking place April 13-17, 2026 in Boston, MA. The course will combine regular lecture and workshop programming with an integrated experience at RAPID, broadening exposure to key stakeholders in the AM industry and the latest technologies and applications. This 5-day program includes 3.5 full days at MIT, with two half-days split between MIT and the RAPID exposition floor.

John Hart is the Class of 1922 Professor and Head of the Department of Mechanical Engineering at MIT. He is also a faculty Co-Director of the MIT Initiative for New Manufacturing, and Director of the MIT Center for Advanced Production Technologies. John’s research focuses on manufacturing processes, machine design, and integration of computing and automation in production systems. John is a co-founder/advisor of several startup companies including VulcanForms, Upgrade Manufacturing, Desktop Metal, and Fabri. He is also a Board Member of Carpenter Technology Corporation. LinkedIn: https://www.linkedin.com/in/ajhart/

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