Summary
Jeff Dalton is a research-driven AI leader with 13 years of experience building conversational agents, information retrieval systems, and applied ML for real-world use. As Head of AI & Chief Scientist at Valence and Associate Professor leading the GRILL lab at the University of Edinburgh, he blends academic rigor with product-focused engineering to advance multimodal LLMs and retrieval-augmented generation. He has steered award-winning student teams (Alexa Prize Taskbot), advised startups and industry (Bloomberg, Google), and holds a Turing AI Fellowship supporting next-generation information assistants. Known for work that bridges search, knowledge graphs, and conversational understanding, he also brings practical production experience from early search engine and Google Assistant projects. Based in Edinburgh, he uniquely combines deep IR/LLM research with hands-on system building and public-facing policy, consulting and speaking on responsible deployment of models like Llama2 and GPT-4.
13 years of coding experience
20 years of employment as a software developer
Bachelor of Science Computer Science, Bachelor of Science Computer Science at Union College
University of Oxford
Harvard Medical School
PhD Computer Science, PhD Computer Science at University of Massachusetts Amherst
Spanish