Michael Hegg
Michael Hegg is a sensor researcher and Meta's Director of Sensors whose work includes smart sensors for contextual AI. He completed an electrical engineering PhD at the University of Washington in 2008, studying near-field light detection with quantum dots. At Intellectual Ventures Lab, he coauthored a 2014 study that used automated image classification to examine malaria detection in blood samples. His career also includes teaching physics at Harvard and a postdoctoral fellowship with George Whitesides; he is an affiliate associate professor in the University of Washington's Department of Electrical and Computer Engineering.
- Now at
- Meta and University of Washington
- Works
- 23
- Citations
- 305
- h-index
- 9
Publication numbers from OpenAlex, as of 27 October 2026.
Timeline
-
2005
A nanotechnology fellowship
In 2005, he receives a one-year UIF Nanotechnology Fellowship while pursuing his PhD with Lih Lin in the University of Washington’s Department of Electrical Engineering.
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2008
Doctorate in electrical engineering
He completes a PhD in electrical engineering at the University of Washington in 2008, with a dissertation on near-field photodetection using nanocrystal quantum dots. His education includes a BS in physics from Washington and Lee University and an MS in electrical engineering from Washington.
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2014
Malaria imaging at Intellectual Ventures
At Intellectual Ventures Lab in Bellevue, he coauthors a 2014 study of malaria diagnosis with dark-field microscopy and automated image classification. The study identifies a detection limit: parasites less than six hours old have no detectable haemozoin, a malaria pigment, in this system.
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2016
Malaria diagnostic test design
In 2016, he works at iSense, LLC in Cambridge, Massachusetts, and coauthors “Development of new malaria diagnostics: matching performance and need.” The article calls for test development to address gaps in malaria programmes and the markets that can sustain new diagnostic tools.
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February 2023
Sensors in the Metaverse
In February 2023, he gives the keynote “Sensors in the Metaverse” at IEEE Sensors in Spotlight in Irvine, California. He is Director of Sensors at Meta Reality Labs.
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As of October 2026
Sensors for contextual AI
As of October 2026, he is Director of Sensors at Meta and an affiliate associate professor in the University of Washington’s Department of Electrical and Computer Engineering. His team supplies sensors for Quest headsets and Ray-Ban smart glasses, develops face, head, eye and hand tracking, and works on smart sensors for contextual AI. His earlier work includes sensor startups in Seattle and Boston, teaching in Harvard’s Department of Physics, and a postdoctoral fellowship with George Whitesides at Harvard.
Career
- NowMetaDirector of Sensors
- NowUniversity of WashingtonAffiliate Associate Professor, Electrical and Computer Engineering
- Harvard UniversityTeaching, Department of Physics
- Harvard UniversityPostdoctoral Fellow
Education
- 2008University of WashingtonPhD in electrical engineering
- Washington and Lee UniversityBS in physics
- University of WashingtonMS in electrical engineering
Sources and credits
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- New Fellowship winners! | UW Department of Electrical & Computer Engineering
- UW Photonics Lab - People
- Michael Hegg | UW Department of Electrical & Computer Engineering
- Limitations of haemozoin-based diagnosis of Plasmodium falciparum using dark-field microscopy - PMC
- Development of new malaria diagnostics: matching performance and need - PMC
- IEEE Sensors In Spotlight 2023

