Jacky Li Adjunct Lecturer & M.S.E.E. Candidate

Edge AI · Embedded Systems · Software Engineer

Jacky Li

Adjunct Lecturer & M.S.E.E. Candidate at Cal Poly Pomona. I build on-device ML, embedded firmware, real-time control, and AI-enabled user-facing applications — with a focus on neuromorphic vision and edge-efficient inference.

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Open to research collaborations and industry partnerships in edge AI, embedded systems, and applied ML. Reach me at jackydli95@gmail.com.

Interactive Console

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Featured Projects

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SNN-GNN Predictive Coding for MRI Representation Learning

Research

Semi-supervised MRI framework using SNN-GNN gating with a SpikeFormer backbone to fuse supervised and unsupervised objectives for label-efficient predictive coding.

PyTorch SNN GNN SpikeFormer

EvCorrupt-Bench: Runtime Corruption Detection for Event Cameras

Research (first author)

A benchmark and monitor study for detecting sensor corruption in event-camera streams at runtime: six physically modeled failure modes (leak-event hot pixels, mains flicker, activity bursts, dead regions, readout congestion, polarity faults) injected as timed episodes into 42 recordings across four sensor families, with leakage-safe injection and false-alarm-budgeted evaluation. In submission.

PyTorch Event Cameras SNN Benchmarking

Recent Experience

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Adjunct Lecturer, ECE 3301 / ECE 3301L Introduction to Microcontrollers

California State Polytechnic University, Pomona | Jan 2026 - Present

Teach upper-division lecture and lab courses on PIC18F microcontrollers, embedded C/assembly, and hardware interfacing.

Course Support, Machine Learning Foundations

Break Through Tech at Cornell Tech | May 2026 - Present

Instructional support for a machine learning foundations program: live labs, office hours, grading, and capstone mentorship.