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Prof. Tom Yeh’s research advances human-centered artificial intelligence by developing methods, systems, and interaction techniques that make modern AI models more interpretable, controllable, and usable. His work examines how people build, inspect, and reason about complex AI-driven systems, including machine learning pipelines, large language models, and intelligent agents. He develops representations and tools that expose model structure, behavior, and limitations rather than treating AI systems as opaque black boxes. Building on foundations in human–AI interaction and AI-assisted programming, his research lowers barriers to designing, understanding, and debugging intelligent systems while supporting meaningful human oversight.

Prof. Tom Yeh is the founder of , an initiative focused on making modern artificial intelligence understandable through direct, hands-on engagement with how AI systems work. AI by Hand develops methods, tools, research, and learning experiences around generative AI, deep learning, transformers, large language models, and emerging AI architectures. Its work has reached a global audience of more than 200,000 people across social platforms and tens of thousands of newsletter subscribers, with an emphasis on building human understanding rather than treating AI as a black box.

Prof. Tom Yeh is co-founder of , a Â鶹Ãâ·Ñ°æÏÂÔØBoulder Venture Partners portfolio company that uses AI and machine reasoning to automate financial due diligence. QoEAgent supports M&A transactions and SBA lenders with quality of earnings (QoE) analysis, proof of cash, and other financial diligence workflows.