Leadership

Directors

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J. Nathan Kutz
Principal Investigator & Director
University of Washington
Professor
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Steven L. Brunton
Co-Principal Investigator & Associate Director
University of Washington
Professor
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Lauren D. Lederer
Managing Director
University of Washington
Professional Staff

 

 

Co-Principal Investigators

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Krithika Manohar
Co-Principal Investigator
Thrust Lead: AI for Sensing and Optimization
University of Washington
Assistant Professor
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Hod Lipson
Co-Principal Investigator
Thrust Co-Lead: AI for Modeling
Columbia University
Professor
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Na Li
Co-Principal Investigator
Thrust Co-Lead: AI for Control
Harvard University
Gordon McKay Professor

 

 

 

 

Board of Directors

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Andrea Bertozzi
Professor
Dept. of Mathematics
University of California, Los Angeles
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Kevin Carlberg
On Sabbatical
Former Director, AI Research Science
Meta
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John O. Dabiri
Professor

Dept. of Engineering and
Applied Science
California Institute of Technology
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Shirley Ho
Senior Research Scientist
Cosmology X Data Science
Flatiron Institute
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Vishwa Uddanwadiker
Chief AI Officer

Engineering Test & Technology
The Boeing Company
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Nathan Baker
Product Lead
Azure Quantum Elements
Microsoft
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Vince Calhoun
Professor, Founding Director
Center for Translational Research in Neuroimaging & Data Science (TReNDS)
Georgia State University
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Erdi Kara
Assistant Professor
Dept. of Mathematics
Spelman College
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Natalie Roe
Associate Lab Director

Physical Sciences
Lawrence Berkeley National Laboratory
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Myra Rolden
CEO & Founder
UnDesto AI

 

 

 

 

Committees

Our institute believes that having members with different backgrounds, identities, and academic experiences enriches our community. We strive to create a culture that is open and creative, and that promotes a sense of belonging. We also prioritize ethical use of artificial intelligence and responsible handling of data as part of our commitment to diversity, equity, and inclusion...Learn More

Our goal is to develop a fully integrative plan for tracking, recruiting, and directing our workforce over the next few years of the institute. Our plan will integrate education and knowledge transfer while centrally coordinating the advertisement of opportunities to our community. The institute will be a source of emerging talent in AI-centric engineering and science for academia, engineering companies, technology firms, and national laboratories... Learn More

Our overarching goal is to design and implement a comprehensive education and training plan that integrates machine learning and artificial intelligence seamlessly into undergraduate and graduate engineering curriculum. This will involve identifying existing and desired skills and objectives and developing modular curriculum content to include in existing and new courses. This content will be deployed within our institute and will be available more broadly for other institutions and industry partners...Learn More

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