Summary
Charlie Rogers-smith is a predoctoral ML researcher and research ops professional with nine years of experience building and deploying safe, interpretable AI systems across top institutions including Cambridge, Oxford, and Imperial. Currently extending concept bottleneck models with Adrian Weller and now working in research ops at Anthropic, Charlie blends deep technical contributions—scalable deep Gaussian process models and novel ABC techniques—with policy-relevant COVID-19 intervention analysis. He has held strategic Chief of Staff roles at research institutes, founded Effective Altruism St Andrews, and brings both hands-on modeling expertise and operational leadership to interdisciplinary teams. Trained in maths (St Andrews) and statistical machine learning (Oxford), he pairs rigorous quantitative skill with an unusual personal discipline—daily meditation and marathon dancing—that fuels sustained focus and creativity.
9 years of coding experience
3 years of employment as a software developer
Master's degree Statistical Machine Learning, Master's degree Statistical Machine Learning at University of Oxford
Bachelor's degree Mathematics, Bachelor's degree Mathematics at University of St Andrews
French, English