Niall Mangan (Northwestern): AI+Science Schmidt Fellows Speaker Series

Organized by the University of Chicago’s Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship Program.

Agenda
4:00pm – 4:45pm:  Presentation
4:45pm – 5:00pm:  Q&A
5:00pm – 5:30pm: Reception

Meeting location
William Eckhardt Research Center. Room 401
5640 S Ellis Avenue, Chicago, IL 60637
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Niall Mangan, Assistant Professor of Engineering Sciences and Applied Mathematics, Northwestern University. My primary research goal is to connect the speed and automation of top-down data-driven model selection methods with the explanatory power of bottom-up mechanistic modeling. Mechanistic modeling provides a powerful framework for systems design and optimization but relies on the sometimes slow integration of model development and experimental validation. Data science methods promise rapid, automated, descriptions and predictions for complex systems, generally without knowledge of underlying mechanisms. Statistics and information theory allow us to evaluate how well our models describe a system, given the data. By combining methods, I will rapidly develop explanatory mechanistic models and use them to optimize system performance and design engineering solutions.

Parking
Campus North Parking
5505 S Ellis Ave
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