I'm a PhD student with the Machine Learning Research Group at the University of Oxford, where I study as a Rhodes Scholar. Recently, I researched causal machine learning at Babylon Health and helped build a new machine learning moonshot at X, Google's moonshot laboratory. I believe in combining technology and economics to tackle the world's most important problems. I'm now exploring post-PhD opportunities.
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 helped launch a biotech startup, a fellowship for social entrepreneurs, and worked for a long time to help kids with Arthritis.