Hang Lou is a Quantitative Researcher at DRW since January 2024, having previously served as a Quantitative Research Intern at the same company from August 2023 to October 2023. Hang is currently pursuing a PhD in Mathematics at University College London (UCL), with a focus on rough path theory, path development, geometry, deep learning, time series modeling, and generative models. Prior experience includes working as a Research Assistant at The Alan Turing Institute, where responsibilities involved developing pipelines for synthetic data generation in time series, and an AI Research Internship at Arabesque. Hang holds a Master's degree in Statistics and a Bachelor's degree in Mathematics from Imperial College London, as well as a High School Degree in Mathematics, Physics, and Chemistry from Malvern College and an education from The Experimental High School Attached to Beijing Normal University.
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