Yoonho Lee
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Yoonho Lee is a final-year Computer Science PhD student at Stanford, advised by Chelsea Finn and backed by OpenAI's Superalignment program. Before Stanford he spent several years as a research scientist at Kakao and AITRICS in Korea, following an MS at POSTECH, and his academic work — including the Set Transformer (ICML 2019) and research on meta-learning and continual learning — has accumulated over 5,000 citations.
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Intel
A research paper and framework demonstrating automated optimization of model harnesses - the scaffolding code that determines what AI models store, retrieve, and present during task execution. Shows significant improvements over hand-designed systems across text classification, math reasoning, and coding tasks.