Academic members are drawn from University of Oxford departments, particularly Engineering but also Economics, the Mathematical Institute, Statistics, the Saïd Business School and Computer Science. Associate Membership status provides academics with an opportunity to work alongside OMI’s students, Faculty and commercial researchers.
The Institute’s student members are graduate students studying for DPhils (PhDs) at affiliated University of Oxford departments, particularly Engineering but also Economics, the Mathematical Institute, Statistics, the Saïd Business School and Computer Science. Students work within the Institute’s purpose built, state-of-the-art offices and have the opportunity to attend the Institute’s in-house seminars and workshops. This opportunity is also extended to the Institute’s Associate Student Members, enabling them to connect with leading researchers across a broad spectrum of relevant disciplines and therefore better position themselves to contribute to quantitative finance.
The Institute’s Administration and IT Team are responsible for coordinating day-to-day activities at OMI. The Administration Team manages the events programme and all aspects of administrative support, ensuring that University policies and procedures are followed for financial, personnel and health & safety matters, and that administrative procedures are completed in accordance with the Collaborative Agreement with the core funders, Man Group Plc. The IT Team provides infrastructure, desktop and IT support services to meet the business and research needs of the Institute. The support team prides itself on providing a high level of service to the Institute’s staff, members and visitors.
Director, Professor Stephen Roberts FREng
Stephen Roberts is the Royal Academy of Engineering – Man Group Professor of Machine Learning. Stephen’s interests lie in methods for intelligent data analysis in complex problems, especially those in which noise and uncertainty abound. He has successfully applied these approaches to a wide range of problem domains including astronomy, biology, finance, sensor networks, control and system monitoring. His current major interests include the application of intelligent data analysis to huge data sets, system monitoring, smart networks, time-series models and large-scale information fusion. Stephen is a Fellow of the Royal Academy of Engineering, the Royal Statistical Society, the IET and the Institute of Physics. Stephen was also founding Director of the Oxford Centre for Doctoral Training in Autonomous Intelligent Machines and Systems (AIMS).
Click here to read Stephen’s vision for OMI.