My research interests lie at the intersection of energy harvesting, low-power AI, and novel materials. My goal is intelligent systems that sustain themselves: devices that draw power from their surroundings, sense and infer within a tight energy budget, and are made from materials that are flexible, functional, and responsible at end of life. As a Principal Researcher and Manager of the Future Technologies R&D group at Accenture Labs, I led work on transient electronics built from bio-based materials and 3D-printed energy-return structures with built-in force sensing, and contributed to a collaboration on MXene-enabled textile energy grids. During my PhD in Computer Science and Human–Computer Interaction at the Georgia Institute of Technology, advised by Drs. Gregory Abowd and Rosa Arriaga, I developed energy harvesting toolkits and self-powered sensing surfaces that turn ambient energy into both power and signal. I am currently a Prototype Developer / UX Engineer in the Special Projects group at Woven by Toyota.
Research Areas
Energy Harvesting
Harvest wind, light, vibration, and heat right where computation happens, and build toolkits that make energy harvesting accessible to makers and researchers, so devices run without batteries or wiring.
Low-Power AI
Run sensing, classification, and inference on-device within a harvested energy budget, using approaches from tiny machine learning to neuromorphic computing that keep intelligence local, private, and efficient.
Novel Materials
Use materials such as multi-material 3D prints, conductive textiles, and bio-based, decomposable substrates to make electronics flexible and wearable, and to let them safely return to the environment.
Where the Three Meet
My projects sit where the three areas overlap: harvest energy locally, compute on very little of it, and build with materials made for both jobs.
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Energy × Materials
Materials that store, return, or carry energy. 3D-printed energy-return springs store and release energy in a sports prosthetic while also sensing force. I also contributed to work on an MXene-enabled textile energy grid that shares power across a garment through wireless charging.
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Energy × Low-Power AI
Ambient energy as both power and signal. OptoSense uses ambient-light surfaces to power itself and to infer user activity, and the Exergy toolkit helps makers design self-sustainable computing.
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Materials × Sustainability
Electronics that break down on purpose. Functional destruction uses PVA, beeswax, and even chocolate so that a device's breakdown can sense environmental change or securely erase data.
