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.
Elazer Edelman
Elazer Edelman

Elazer R. Edelman is the Edward J. Poitras Professor in Medical Engineering and Science at MIT, where he directs the Institute of Medical Engineering and Science. He is also a Professor of Medicine at Harvard Medical School, and a cardiac intensive care unit cardiologist at the Brigham and Women’s Hospital (BWH) in Boston.

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Tolga Durak
Tolga Durak

Tolga Durak is the Managing Director of the MIT Environment, Health & Safety Office (EHS). As MIT’s Managing Director, Durak is the responsible administrator for health, safety and environmental programs for all MIT academic and administrative units. Durak leads EHS to assure university activities are conducted in compliance with applicable laws, regulations, best business practices as well as by supporting development, implementation, and monitoring of prevention control strategies and initiatives. In addition to the main MIT campus, EHS provides support for and oversight over all off-site and international departments, laboratories and research centers.

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Seongkyu Yoon
Seongkyu Yoon

Dr. Seongkyu Yoon is a Professor in the Department of Chemical Engineering and the Ward Endowed Professor in Biomedical Sciences at UMass Lowell. He is also the UMass Site Director of the Advanced Mammalian Biomanufacturing Innovation Center and a contributor to the National Biomanufacturing Innovation Institute. Dr. Yoon runs a systems biology group that conducts research on systems biotechnology, life science informatics, bioprocess data analytics, and regulatory sciences with the objective of developing innovative biomanufacturing platforms for protein/cell/gene biotherapeutics.

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Dr. Richard D. Braatz is the Edwin R. Gilliland Professor of Chemical Engineering at MIT, where he conducts research into advanced biopharmaceutical manufacturing systems. In this role, he leads process data analytics, mechanistic modeling, and control systems for several projects on campus, including those focused on monoclonal antibody, viral vaccine, and gene therapy manufacturing.

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Get more from your bioprocess data. In this intensive, four-day course, designed specifically for scientists and engineers in the biopharma industry, you’ll explore best practices for translating biopharmaceutical manufacturing data into reliable models and better decisions. Working with academic and industry experts, you’ll acquire strategies for improving manufacturing accuracy, enhancing regulatory efficiency, and refining bioprocess operations.