Research Area
Bio-inspired and bio-integrative wireless sensor systems that enable traditionally stationary Internet of Things (IoT) devices to move.
Current Position
PhD Candidate, University of Washington
Education
- PhD Candidate, Electrical and Computer Engineering, University of Washington
- BS, Electrical Engineering and Computer Science, University of California, Berkeley
Young Scholar Research
By creating bio-inspired and bio-integrative wireless sensor systems, we can enable traditionally stationary Internet of Things (IoT) devices to move, putting a new and scalable category of data collectors into the world to help us understand our environment at scale and with a fine degree of detail. This platform can be used to study micro-climates on large farms, answer questions about insects’ behavior or collect air quality data at a more granular level than by using a handful of stationary sensors.
Other Honors
- Sensys 2018 Best Paper Award for “3D Localization for Sub-Centimeter Sized Devices”
- Microsoft Research PhD Fellowship
- SIGCOMM 2016 Best Paper Award for “Inter-Technology Backscatter: Towards Internet Connectivity for Implanted Devices