Summary
Antoine Didisheim is an Assistant Professor (Senior Lecturer) in Finance at the University of Melbourne who blends rigorous finance training with advanced machine learning expertise, holding a PhD from the Swiss Finance Institute and a Distinction MSc in Data Science from UCL. He researches AI applications in finance, with a recent focus on how large language models behave in financial forecasting, memory of returns for backtesting, long-context reasoning limits, and interpretable confidence metrics. His work has appeared in top finance journals, been covered by VoxEU and the Financial Times, and earned the Q-Group Jack Treynor Prize 2024. Equally comfortable with Python, R and C++, he combines academic insight with practical data-analytics experience from consulting and teaching roles. An underappreciated strength is his focus on model interpretability and behavioral-like biases in LLMs, bridging theoretical finance and real-world model risk.
9 years of coding experience
University College London
Master's degree, Finance, General, Master's degree, Finance, General at HEC Lausanne - The Faculty of Business and Economics of the University of Lausanne
Doctor of Philosophy - PhD, Finance, General, Doctor of Philosophy - PhD, Finance, General at SFI Swiss Finance Institute