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