Massachusetts Institute of Technology (MIT) has appointed David Siegel as its next Innovation Fellow, effective during the 2026-27 academic year. His role will focus on leveraging artificial intelligence (AI) to enhance scientific discovery. This appointment marks Siegel’s return to MIT, where he completed his master’s degree in 1986 and his PhD in 1991, along with having contributed to research in the university’s Artificial Intelligence Lab.
David Siegel’s Background and Contributions
As a graduate student, Siegel worked under Professor Tomás Lozano-Pérez on human-machine interaction and contributed to developing a humanlike robotic hand. He has maintained a connection with MIT throughout his career, exemplified by his involvement in various initiatives, including the MIT Schwarzman College of Computing and the MIT Siegel Family Quest for Intelligence. MIT President Sally Kornbluth noted Siegel’s role as a valuable collaborator on significant initiatives within the Institute.
Siegel expressed enthusiasm about returning to MIT to engage in research surrounding AI and its potential to address complex challenges in science. He stated, “MIT has played a foundational role in shaping how I view technology’s potential to address complex challenges.” He emphasized the importance of collaboration with students, researchers, and faculty at a critical point in technology’s evolution.
In addition to his academic affiliations, Siegel co-founded the global investment firm Two Sigma in 2001, which utilizes data science, AI, and quantitative modeling in investment strategies. Although he stepped back from day-to-day management of Two Sigma in 2024, he remains actively involved as co-chair.
Siegel is also the founder of Open Athena, a nonprofit created to provide research laboratories with AI talent and resources. The organization is currently developing a significant foundation model called Marin, collaborating with institutions like MIT and supported by various philanthropic organizations.
According to Dan Huttenlocher, Dean of the MIT Schwarzman College of Computing, Siegel’s longstanding experience will be beneficial as the college endeavors to navigate challenges and identify concrete research paths. The fellowship, typically lasting a year or more, will involve Siegel working with faculty and students while participating in public events and advising Institute leaders.
Siegel concluded with a statement about the challenges and opportunities presented by using AI in scientific research, saying, “Using AI to accelerate scientific discovery is the ultimate engineering challenge. There is simply no better launchpad in the world for that work than MIT.”
Why It Matters
The appointment of David Siegel as Innovation Fellow underscores MIT’s commitment to advancing AI in scientific fields. By harnessing the expertise of distinguished individuals like Siegel, the Institute aims to foster innovation and address pressing scientific challenges through the strategic application of technology.
