Stephanie Gil
Stephanie Gil is an AI and robotics researcher whose work develops communication and coordination methods for multi-agent robot teams. She earned a bachelor's degree in mechanical and aerospace engineering at Cornell and master's and doctoral degrees at MIT, where she studied wireless communication for robot networks. She was an assistant professor at Arizona State and Harvard and held a visiting assistant professorship at Stanford; she received the NSF CAREER Award in 2019, a Sloan Research Fellowship in 2020, the Office of Naval Research Young Investigator Award in 2021, and a DARPA Young Faculty Award in 2024. Her lab's search-and-rescue drone simulation was reported in July 2022, and she coauthored a 2025 survey on trust in cyber-physical systems. As of October 2026, she is an associate professor of Engineering and Applied Sciences at Harvard.
- Now at
- Harvard University
- Works
- 94
- Citations
- 1,511
- h-index
- 18
Publication numbers from OpenAlex, as of 27 October 2026.
Timeline
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2006–2014
Cornell and MIT degrees
She earns a B.S. in mechanical and aerospace engineering at Cornell in 2006. At MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), she completes an M.S. in 2008 under Professor Brian Williams and a Ph.D. in 2014 under Professor Daniela Rus.
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2016
Communication as a high-fidelity sensor
At an April 2016 talk, she presents an algorithm that uses wireless communication as a high-fidelity sensor and describes methods for establishing and repairing robot-network links.
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2018–2020
Assistant professor at Arizona State
She serves as an assistant professor in Arizona State University's computer science department within the School of Computing, Informatics, and Decision Systems Engineering from 2018 to 2020.
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2019–2020
Stanford and Harvard appointments
During summer 2019, she holds a visiting assistant professorship at Stanford and works with the Stanford Robotics Lab. In July 2020, she joins Harvard SEAS as an assistant professor of computer science and directs the REACT Lab.
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2019–2021
NSF, Sloan and ONR awards
She receives the NSF CAREER Award in 2019 and is named a Sloan Research Fellow in 2020. The Office of Naval Research names her a Young Investigator in 2021.
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July 2022
Search-and-rescue drone simulation
A July 2022 article describes a search-and-rescue simulation in which a large REACT Lab drone searches an environment for a target.
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2024
A DARPA Young Faculty Award
She receives a DARPA Young Faculty Award in 2024.
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July 2025
Kempner Institute appointment
She begins a three-year appointment as an associate faculty member at Harvard's Kempner Institute in July 2025.
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2025
How Physicality Enables Cy-Trust
In 2025, she coauthors “How Physicality Enables Cy-Trust: A New Era of Trust-Centered Cyber–Physical Systems,” a Proceedings of the IEEE survey on security and trust in multi-agent cyberphysical systems.
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As of October 2026
John L. Loeb professorship
As of October 2026, she is the John L. Loeb Associate Professor of Engineering and Applied Sciences at Harvard SEAS. Her research develops theory and systems for natural and artificial intelligence, focusing on physically embodied agents that perceive, communicate, and collaborate. Her work centers on trust and coordination in multi-robot systems.
Career
- 2025–2028Harvard UniversityAssociate Faculty, Kempner Institute
- NowHarvard UniversityJohn L. Loeb Associate Professor of Engineering and Applied Sciences
- NowHarvard UniversityDirector, REACT Lab (Robotics, Embedded Autonomy, and Communication Theory Lab)
- From 2020Harvard UniversityAssistant Professor of Computer Science
- 2019Stanford UniversityVisiting Assistant Professor
- 2018–2020Arizona State UniversityAssistant Professor
Education
- 2014Massachusetts Institute of TechnologyPh.D.
- 2008Massachusetts Institute of TechnologyM.S.
- 2006Cornell UniversityB.S. in Mechanical and Aerospace Engineering
Sources and credits
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- “Adaptive Communication Networks and Cybersecurity for Multi-Robot Teams” by Stephanie Gil, Massachusetts Institute of Technology | MAE
- Resilient Coordination and Learning in Networked Multi-Robot Teams | Harvard SEAS
- REACT Lab
- Stephanie Gil Helps Robots Work Better Together | Harvard Magazine
- Venkatesh Murthy, Stephanie Gil Appointed Kempner Institute Associate Faculty Members
- How Physicality Enables Cy-Trust: A New Era of Trust-Centered Cyber–Physical Systems | REACT Lab
- Stephanie Gil | Harvard John A. Paulson School of Engineering and Applied Sciences
