Logan Graham

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I'm a PhD student with the Machine Learning Research Group at the University of Oxford, where I study as a Rhodes Scholar. Currently, I'm an AI resident at X, Google's moonshot laboratory. I believe in combining technology and economics to tackle the world's most important problems.

I research how we can improve machine learning with causality and interpretability. I'm specifically interested in how we can use causal reasoning to improve learning efficiency and generalization; using pseudo-causal concepts to improve interpretability; and deploying machine learning to safety-critical human-use situations.

I've also researched the future of jobs, using machine learning to predict what tasks and occupations can be automated. I curate interesting papers here – you might like them.

I'm an entrepreneur, salsa dancer, and rower. I started and ran RAIL, the Rhodes Artificial Intelligence Lab. I launched a biotech startup, a fellowship for social entrepreneurs, and worked for a long time to help kids with Arthritis.

I write some things here → and here are some papers you should write.

Reading topics of the month: Environment, Indigeneous issues, and systems change. Currently reading The Once and Future World, The Inconvenient Indian, and Thinking in Systems