Corby Rosset is a Senior Researcher and applied deep learning scientist with 11 years of experience building production ML systems, currently contributing to Microsoft Project Turing where his work has influenced relevance, QA, suggestion and summarization across Microsoft products. He has helped ship large transformer-based language models and contributed to high-profile open resources like the MS MARCO datasets that power search and ranking research. Corby blends academic rigor from Johns Hopkins (BS/MS in Computer Science) with startup agility from roles including founding engineer at you.com and a consultancy at Neeva, giving him a rare perspective on both research and productization. He also has hands-on signal-processing research experience from biomedical imaging in undergraduate labs, reflecting a knack for applying algorithmic ideas across domains.
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