Publications: CVPR’25, ISCAS’25, CICC’25, ICASSP’25, ECCV’24, MICRO’25, IJCNN’24, ICONS’24, Front NeuralSci’24, MLSys’24. Open-sourced Tools: Torch2Chip (end-to-end solution for deep learning model deployment).
Research Experience
Collaboration/internship experience with top-tier industrial research facilities and universities including Meta Reality Lab, Texas Instrument, ARM, KAIST, Georgia Tech, and University of Pennsylvania.
Education
2023 - 2025: Ph.D., Electrical Engineering, Cornell University, New York City, USA. Advisor: Dr. Jae-sun Seo; 2019 - 2023: Ph.D., Electrical Engineering, Arizona State University, Tempe, USA. 2016 - 2019: B.S., Electrical Engineering, Portland State University, Portland, USA. Advisor: Dr. Christopher Teuscher.
Background
Fifth-year Ph.D. candidate in the Department of Electrical Engineering at Cornell (Tech), with research interests in energy-efficient large language models, drivable 3D computer vision, codec avatars, hardware-aware neuromorphic algorithm design, neural network compression and sparsification, spiking neural networks, and event-based computer vision.