Edwin F. David

Dr. Edwin F. David is the Head of the Engineering Division at MIT Lincoln Laboratory. He joined the Laboratory in 1998 as a technical staff member in the Systems and Analysis Group, supporting the Air Vehicle Survivability program. His research focused on modeling, simulation, and testing of navigation and guidance systems, sensor systems, and directed energy systems. In this role, he supported the Defense Science Board Task Force for the Global Positioning System space segment modernization. He also served as program manager for the Directed Energy Countermeasures Assessment Team.  

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Chris Gordon
Chris Gordon

Chris Gordon has been a lecturer at MIT’s Center for Real Estate for over 20 years. He teaches a course on Innovative Project Delivery in the Public & Private Sectors in our MSRED program. As a practitioner, Chris serves as an advisor and manager on complex capital projects worldwide. He works in a hands-on capacity to establish the project strategies, project team, and management process, and then monitors and/or leads the project to improve the chances of success significantly. He is also a Lecturer at both the Harvard Business School and the Massachusetts Institute of Technology Center for Real Estate, teaching several courses and writing on complex capital projects.

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Reinforcement learning (RL), is enabling exciting advancements in self-driving vehicles, natural language processing, automated supply chain management, financial investment software, and more. In this three-day course, you will acquire the theoretical frameworks and practical tools you need to use RL to solve big problems for your organization.

Jarrod Goentzel is founder and director of the MIT Humanitarian Supply Chain Lab in the MIT Center for Transportation & Logistics. His research focuses on meeting human needs in resource-constrained settings through better supply chain management, information systems, and decision support technology.

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During times of uncertainty, one thing doesn’t change—your responsibility to provide value to your customers. Learn to build an innovative, resilient organization that can beat the odds amid difficult circumstances. In this three-day course, you’ll acquire the tools and frameworks you need to drive increased revenue for existing products, services, and customers, while simultaneously building new lines of business that position your organization for sustainable growth.

Cathy Wu is the Gilbert W. Winslow Career Development Assistant Professor of civil and environmental engineering at MIT and has worked across many fields and organizations, including Microsoft Research, OpenAI, the Google X Self-Driving Car Team, AT&T, Caltrans, Facebook, and Dropbox. Wu is also the founder and Chair of the Interdisciplinary Research Initiative at the ACM Future of Computing Academy.

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Pulkit Agrawal is assistant professor of electrical engineering and computer science at MIT and leads the Improbable AI Lab, part of the Computer Science and Artificial Intelligence Lab at MIT and affiliated with the Laboratory for Information and Decision Systems. Agrawal also co-founded SafelyYou, an organization that builds fall prevention technology, and the AI Foundry, an incubator for AI startups.

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Sang-Gook Kim
Sang-Gook Kim

Sang-Gook Kim is a professor in the Department of Mechanical Engineering. He is currently the Micro/Nano Area Head of the Department of Mechanical Engineering at MIT. Prof. Kim’s research has been in the field of product realization throughout his career at both the industry and academia. His recent research includes piezoelectric MEMS energy harvesting, micro ultrasonic transducers and nano-engineered energy conversion for carbon neutrality and solar water splitting systems. 

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How do you solve important, large-scale challenges with evolving and contradictory constraints? In this 5-day course, transform your approach to large-scale problem solving, from multi-stakeholder engineering projects to the online spread of misinformation. Alongside engineers and leaders from diverse industries, you’ll explore actionable innovative frameworks for assessing, communicating, and implementing complex systems—and significantly increase your likelihood of success.