Amy Orsborn
Also known as Amy L. Orsborn
Amy Orsborn is a neuroengineer who develops brain-machine interfaces that use machine learning and the brain’s own adaptation. She earned an engineering physics degree at Case Western Reserve University in 2007 and a joint Berkeley–UCSF bioengineering doctorate in 2013, then developed neural implants at NYU. After joining the University of Washington in 2018, she contributed to the A3D3 Institute’s AI research and coauthored a 2026 framework that used game theory to predict how users and adaptive interfaces interact. She received an NSF CAREER award in 2024, a Sloan Research Fellowship in 2025 and a Fulbright award for 2026–2027. As of October 2026, she is the Cherng Jia and Elizabeth Yun Hwang Endowed Professor in electrical and computer engineering and bioengineering at Washington, and a scientific adviser for Meta Reality Labs.
- Now at
- University of Washington
- Works
- 69
- Citations
- 1,791
- h-index
- 20
Publication numbers from OpenAlex, as of 27 October 2026.
Timeline
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2007–2013
Physics and a bioengineering doctorate
She earns a bachelor’s degree in engineering physics at Case Western Reserve University in 2007. In 2013, she completes a PhD in the UC Berkeley–UCSF Joint Graduate Program in Bioengineering, with doctoral research in Jose Carmena’s lab at Berkeley.
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2014–2018
Neural implants at NYU
From 2014 to 2018, Orsborn works in the Pesaran Lab at New York University’s Center for Neural Science. She develops implants that monitor neural circuits in non-human primates and receives a L’Oréal USA for Women in Science postdoctoral fellowship for this research in 2016.
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January 2017
Faster brain-machine interface control
In January 2017, she coauthors “Rapid control and feedback rates enhance neuroprosthetic control” in Nature Communications. Experiments in two monkeys show that sending control commands more frequently improves brain-machine interface performance, with further improvements from faster visual feedback.
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2018
Joining the Washington faculty
In 2018, she joins the University of Washington as a Clare Boothe Luce Assistant Professor in the departments of Electrical & Computer Engineering and Bioengineering. She also becomes a faculty member affiliated with the Center for Neurotechnology.
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September 2021
AI research at A3D3
In September 2021, Orsborn is part of the new Accelerated AI Algorithms for Data-Driven Discovery Institute, a University of Washington-led partnership funded by the National Science Foundation. Its neuroscience program focuses on AI algorithms for real-time analysis of neural datasets, including electrical recordings from implanted electrodes.
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2024
An NSF CAREER award
She receives a National Science Foundation CAREER award in 2024 to study how the brain and nervous system respond to sensorimotor neural interfaces. The project aims to build computational methods for interfaces that adapt to their users, and also supports education for underrepresented students in STEM.
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February 2025
A Sloan Research Fellowship
In February 2025, she receives a Sloan Research Fellowship. Her research uses brain-computer interfaces and computational models to study how neurons work together during movement learning.
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March 2026
Game theory for neural interfaces
In March 2026, she coauthors “Computational framework to predict and shape human–machine interactions in closed-loop, co-adaptive neural interfaces” in Nature Machine Intelligence. The team combines control theory and game theory to predict how users and adaptive decoding algorithms interact, and tests the framework with 14 people controlling a cursor through muscle signals.
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2026–2027
A Fulbright for Portugal
For 2026–2027, Orsborn is named a Fulbright Scholar. The award supports a planned visit to the Champalimaud Institute for Restorative Neurotechnology in Lisbon to study motor learning and explore adaptive brain-computer interfaces for stroke rehabilitation.
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As of October 2026
Endowed professor at Washington
As of October 2026, she holds the Cherng Jia and Elizabeth Yun Hwang Endowed Professorship in Electrical & Computer Engineering and Bioengineering at the University of Washington. Her lab develops adaptive neural interfaces that engage the brain’s ability to learn, and she also serves as a scientific adviser for Meta Reality Labs.
Career
- NowUniversity of WashingtonCherng Jia and Elizabeth Yun Hwang Endowed Professor of Electrical and Computer Engineering and Bioengineering
- 2014–2018New York UniversityPostdoctoral Researcher
Education
- 2013University of California, BerkeleyJoint PhD in Bioengineering
- 2013University of California, San FranciscoJoint PhD in Bioengineering
- 2007Case Western Reserve UniversityBachelor's Degree in Engineering Physics
Sources and credits
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- New Faculty Hire Profile: Amy Orsborn
- Brain-Machine Interface Systems Laboratory — People
- Amy Orsborn | UW College of Engineering
- At the crossroads of engineering and neuroscience: Amy Orsborn studies adaptive neural interfaces
- Rapid control and feedback rates enhance neuroprosthetic control
- New NSF-funded institute to harness AI for accelerated discoveries in physics, astronomy and neuroscience
- Amy Orsborn receives NSF CAREER award to study how the brain responds to using neural interfaces
- Three UW scientists named Sloan Fellows
- Computational framework to predict and shape human–machine interactions in closed-loop, co-adaptive neural interfaces
- WaNBRC’s Orsborn Earns Fulbright, Will Study Learning and Movement in Portugal
- Amy Orsborn | UW Department of Electrical & Computer Engineering
- UW research team applies game theory to create a new framework for neural interface design



