Cathy Yeh

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About

Cathy Yeh’s research lies at the intersection of artificial intelligence and evolutionary computation, with a primary focus on harnessing large language models (LLMs) to advance genetic programming. Her most influential work, “Evolution Through Large Models” (2023), has already garnered 51 citations, establishing her as a pioneer in a rapidly growing field. Yeh’s key contribution is the insight that LLMs trained on code can serve as powerful mutation operators, dramatically improving the effectiveness of program evolution. By leveraging the sequential change patterns embedded in LLM training data, she demonstrated how these models can generate more meaningful and diverse program modifications than traditional genetic programming techniques. This work bridges the gap between deep learning and evolutionary algorithms, opening new pathways for automated code generation and optimization. Yeh’s research has significant implications for software engineering, AI safety, and the broader goal of creating systems that can autonomously improve their own code. Her innovative approach has inspired a wave of follow-up studies and positions her as a leading voice in the next generation of evolutionary computation.