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Chris is a PhD AI researcher from MIT and University College London, and a Human-Centered AI Fellow at Stanford. His research has focused on studying Human–AI interaction — how people engage with, learn from, and are influenced by AI systems. He has published first-author papers in Nature Human Behaviour and Nature Communications on advanced machine learning methods for analyzing language, images, and large-scale behavior.

Daniel began his career in Silicon Valley 18 years ago as an engineer. He studied causal data ML during his Master’s in CS and PhD at Stanford, and later worked as a founding PM at Datachain AI, bringing deep learning models to process data at scale.