David Siegel Will Serve as MIT Innovation Fellow

The Two Sigma co-founder will focus on artificial intelligence applications during the 2026-27 academic year.

Updated on Sept. 23, 2026 in Artificial Intelligence

Isometric editorial illustration featuring a stone plinth and a glass laboratory prism, representing technical fellowship and academic research. — David Siegel, co-founder of Two Sigma, has been named the 2026-27 MIT Innovation Fellow, where he will research AI applications for scientific discovery. AI Illustration. Upload story photo >

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David Siegel will serve as the MIT Innovation Fellow for the 2026-27 academic year, working with the Schwarzman College of Computing. He plans to focus his efforts on exploring how artificial intelligence can accelerate scientific discovery.

Why it matters

Siegel aims to bridge academic research with practical AI applications to solve complex scientific challenges. His role will involve providing strategic counsel to MIT leaders and engaging directly with faculty and students.

Siegel’s research draws on the development of foundation models, including those reaching a 535 billion parameter count. His upcoming work involves insights from interviews with 300 CEOs regarding industry trends.

The players

David Siegel

He is the co-founder of Two Sigma and the Siegel Family Endowment who previously founded the nonprofit Open Athena.

MIT Schwarzman College of Computing

This department serves as the primary hub for computer science and AI research at the Massachusetts Institute of Technology.

The details

Siegel will collaborate with the MIT Schwarzman College of Computing to investigate potential applications for AI in scientific fields. Beyond his work with students and faculty, he is scheduled to publish a book with MIT Press in March 2027.

Siegel earned his master's degree from MIT in 1986.
Siegel completed his PhD at MIT in 1991.
Siegel will serve his fellowship throughout the 2026-27 academic year.
His book is scheduled for publication by MIT Press in March 2027.

The Tech Race

This appointment highlights the ongoing integration of industry expertise into academic research environments to accelerate AI development. It follows a trend of tech leaders transitioning into advisory roles to guide the next generation of computing applications.

The fellowship will likely shape future AI tools and scientific methodologies that eventually influence commercial technology. Students and researchers at the university will gain direct access to insights from a prominent industry veteran.

The takeaway

Siegel's tenure reflects a growing emphasis on leveraging large-scale foundation models to solve real-world scientific problems. His upcoming book and fellowship suggest that industry-academic partnerships will continue to drive the pace of technological innovation.