Charles Dickens is a Senior Applied Research Scientist at Snorkel AI with nine years of experience building and evaluating generative AI systems informed by a Ph.D. in Computer Science from UC Santa Cruz. He focuses on bridging human expertise with machine learning through rigorous evaluation methods and symbolic reasoning to improve model reliability and trustworthiness. His background spans industry internships at Amazon and Clari and applied research roles that emphasize practical, interpretable pipelines for real-world problems—such as health document triage and sales opportunity similarity. Based in California, he combines deep academic training with hands-on engineering to move research into production, and he has a track record of translating cross-disciplinary work into educational materials and internal tooling. An understated strength is his emphasis on human-in-the-loop design, ensuring systems remain auditable and aligned with expert knowledge.
9 years of coding experience
1 year of employment as a software developer
Associate of Science (A.S.) Pre-Engineering, Associate of Science (A.S.) Pre-Engineering at Kapi‘olani Community College
Pre-Engineering, Pre-Engineering at Windward Community College
University of California Santa Cruz
Bachelor of Science - BS Computer Engineering, Bachelor of Science - BS Computer Engineering at University of Hawaii at Manoa
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Charles Dickens - Senior Applied Research Scientist at Snorkel AI