J. David Fleig

Lead AI Scientist – Chemistry / CAS SciFinder

Bio

David Fleig turns language into scientific insight. As Lead AI Scientist for CAS SciFinder, he leads AI development on one of the world's premier scientific research platforms — building machine learning, NLP, and knowledge-graph solutions that expand what researchers can discover and how fast they can get there. His signature focus is literature-based discovery: finding connections across the scientific record that no single researcher could surface alone. Beyond his work at CAS, he teaches computer science as adjunct faculty at Franklin University and the University of Wisconsin–Green Bay. He holds a Ph.D. in Computer Science with a research concentration in NLP and literature-based discovery, along with graduate and undergraduate degrees spanning four disciplines.

The evaluation challenge at the heart of scientific AI

Classical accuracy metrics assume one correct answer per question. Language models (LLMs) and agentic AI break that assumption. Learn about evaluation approaches emerging for scientific AI.
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实现科学数据人工智能成熟度的结构化框架

科学 R&D 团队在采用人工智能时面临着现实障碍。了解结构化数据、专家协作以及“成功三角”框架如何推动实现有意义的人工智能成熟度。
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