Thomas Lees is an accomplished data scientist specializing in renewable energy forecasting and quantitative modeling, currently serving as an Associate in Global Trading Strategies within the Commodities sector at Citadel since June 2022. Previously, Thomas pursued a DPhil in Environmental Science at the University of Oxford from October 2017 to March 2022, focusing on deep learning applications for hydrological modeling, alongside a role as a Research Assistant modeling river discharge. Additionally, participation in the Young Scientist Summer Program at the International Institute for Applied Systems Analysis highlighted Thomas’s ability to leverage neural networks for predicting hydrological processes and understanding water dynamics. Academic credentials include a Doctor of Science from the University of Oxford and a Bachelor of Arts from the same institution, complemented by foundational education at Whitgift School.
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