About

I am a final year Ph.D. student in Berkeley AI Research (BAIR) at EECS, UC Berkeley. My research spans a full-stack approach to designing efficient and privacy-preserving AI solutions under the supervision of Prof. Kurt Keutzer. More specifically, my research interests lie in:

• Efficient and hardware-aware model architectures
• Model compression and optimization techniques for low-cost inference (e.g. quantization and pruning)
• Algorithms and systems for efficient model training and inference
• Hardware-software co-design and co-optimization

I was selected as a MLCommons ML and Systems Rising Star and was a finalist for the NVIDIA Graduate Fellowship in 2024. Before joining UC Berkeley, I was an undergrad majoring in Electrical and Computer Engineering (ECE) at Seoul National University, where I was ranked 1st in the entire class of 2020 (overall GPA: 4.29/4.30, major GPA: 4.30/4.30). In my undergrad years, I was honored to work with Prof. Jangwoo Kim on computer architectures, and with Prof. Byung-Gon Chun on deep learning software systems.

Selected Publications

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Full Publications