Research Intern
UCSD Health
San Diego, CA, United States
Jaelyn is a Research Intern at Moores Cancer Center, University of California San Diego, focusing on machine learning for oncology and building tools for biomedical data analysis. Her independent work in neuromorphic computing includes an FPGA-based spiking neural network-deep learning fusion architecture on the Zynq UltraScale+ (ZCU104) with hierarchical memory, delivering substantially lower power and faster inference than NVIDIA A100/L4, Google TPU v2-8, and CPUs on DeepSeek-V3 NLP and CNN training tasks. She has also researched FPGA-based ECG signal processing and cardiac disorder classification. Jaelyn has been invited to present at the United Nations Science Summit (Energy/Clean Tech panel) and the ASML Sustainability Fair. Her research interests include electrical engineering, neuromorphic systems, protein design, and biomedical machine learning.
An FPGA-Based Neuromorphic-Deep Learning Fusion Architecture for Energy Efficient AI Applications
Wednesday, October 8, 2025
3:10pm - 5:00pm MT