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INTERNSHIPS 1 - 1
Teaching sensors to think for themselves
— and understanding the business behind them
Two research internships with Prof. Kyusang Lee's Intelligence Sensing Group at UVA, plus a market-research internship at a mobility startup.
RESEARCH — UNIVERSITY OF VIRGINIA, INTELLIGENCE SENSING GROUP
CMOS+X: an artificial somatosensory system
NSF-supported · Dec 2024–Jan 2025 & Dec 2025–Jan 2026
WHY
Ordinary chips process sensory data far from where it's sensed, wasting power and adding delay. This project asks whether ferroelectric devices can let a chip react more like a nervous system — converting raw input into spikes on the spot.
HOW
I reviewed more than 20 peer-reviewed papers on neuromorphic computing and ferroelectric GaN HEMTs, then moved to hands-on electrical characterization: P-V, PUND, and I-V measurements on FeHEMT devices, and organizing plasticity data for the team.
WHAT I DID
Spent the first stretch mostly reading — working through 20-plus papers on neuromorphic computing and ferroelectric devices to get up to speed on the field. From there I moved into the lab itself, running electrical tests on the FeHEMT devices and helping keep the team's plasticity data organized so we could compare results across the group. Full methods and results are on the Research Projects page.
WHAT I TOOK FROM IT
I assumed that once I understood the theory, the measurements would mostly confirm what I'd read. They didn't come out that cleanly — real device data needed to be checked and rechecked before I could tell genuine behavior from measurement noise. That gap between the literature and the raw numbers taught me to trust a result only after trying to break it myself.
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