William Merrill is a computational linguist and theoretician of language models with 15 years of experience bridging NLP, linguistics, and formal languages. Currently a postdoc at the Allen Institute for AI and soon an assistant professor at the Toyota Technological Institute at Chicago, he studies what algorithms large language models can implement and what fundamentally lies beyond their computational reach. His work blends PhD-level theory from NYU with industry research stints at Google and AI2, probing whether predictive "autocomplete" learning can capture complete linguistic and world knowledge. He has a track record of building practical ML systems (from deployed ad analytics at Google to state-of-the-art NLP tools in academia) alongside rigorous theoretical results, and brings a rare mix of formal language expertise and production ML experience.
15 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Yale University
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