Jed Singer is a Principal Applied Scientist with a Ph.D. in brain science who combines eight years of industry experience and a deep academic background to build AI systems that tackle scientific problems at scale. At Microsoft he architects model suites and an LLM Copilot to enable natural-language interaction with complex scientific workflows, drawing on prior leadership roles developing ML solutions across domains from neuroscience to synthetic biology. He has a proven track record leading teams through underspecified problems with noisy data, producing proposals, publications, and production-ready systems for corporate and government customers. Comfortable with both low-level data engineering and high-level model design, Jed bridges computational rigor and practical deployment—an asset rooted in his academic training and hands-on experience automating analysis of massive neural datasets. An implicit strength is his interdisciplinary fluency, enabling him to translate domain research needs into concrete AI products.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Brain Science Graduate Program, Doctor of Philosophy (Ph.D.) Brain Science Graduate Program at Brown University
Contributions:1 PR, 10 pushes, 1 branch in 2 months
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Jed Singer - Principal Applied Scientist at Microsoft