معرفی
Stefan Zohren is a Professor of Engineering Science at the University of Oxford, holding roles as an Associate Professor, Research Associate at the Oxford Internet Institute, and Stipendiary Lecturer at Worcester College. He leads research in applied machine learning across finance, economics, and natural sciences, with a focus on deep learning, reinforcement learning, network analysis, and quantum computing applications. His work bridges academia and industry through collaborations with NVIDIA, Graphcore, Nokia, and Lockheed Martin.
Education: DPhil in Mathematical Physics from Imperial College London. He teaches machine learning modules in the MSc in Social Data Science program at the Oxford Internet Institute, including intensive courses on Applied Machine Learning.
Research interests emphasize financial time series analysis, generative AI for trading strategies, and quantum computing. Recent publications explore stock market instability via graph auto-encoders, generative AI benchmarking in finance, and embedding compression techniques for noisy regression tasks.
Scientific contributions include developing LOB-Bench for limit order book analysis and Position, a multimodal LLM for time series reasoning. His work addresses challenges in portfolio optimization, credit rating forecasting, and market shock causality.
Collaborations with Man Group as Principal Quant and involvement in the Creative Destruction Lab’s FinTech stream highlight his industry engagement. He advises on projects ranging from SMEs to global firms, applying ML to finance and healthcare domains.
