Edward Kim is a Manager of Machine Learning with 14 years of experience combining academic rigor and product-focused ML engineering, currently leading a team at Cohere building exploratory LLM applications such as conversational AI, human-feedback pipelines, and evaluation tooling. He bridges industry and academia as a Vector Institute Faculty Affiliate and an Adjunct Professor at the University of Toronto, where he focuses on the intersection of large language models and materials informatics. Trained with a PhD from MIT and a BS from the University of Guelph, he brings deep domain expertise in materials science to generative AI problems. Known for championing async-first practices and inclusive teams, he also actively builds open-source libraries and API-driven systems that make LLM research more reproducible and production-ready.
14 years of coding experience
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at Massachusetts Institute of Technology
Contributions:89 pushes, 3 branches in 9 years 10 months
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