Peer’s research interests are in Reinforcement Learning and Multi-Agent Learning with applications to finance. He is currently working on Adversarial Reinforcement Learning in high-frequency limit order book markets to improve trading performance and robustness. Before starting his DPhil, Peer has conducted an internship at the quantitative hedge fund Man AHL, where he worked on statistical selection of trading strategies and portfolio optimisation.
In previous research roles at the University of Oxford and at the World Bank, Peer worked in financial econometrics and on Natural Language Processing problems to analyse development research interviews and other sources of text data. Peer holds an MPhil in Economics from the University of Oxford (Nuffield College) and an MA (Hons) in Economics and Philosophy from the University of St Andrews.
