Regular biography
Jan-Peter Calliess is a Senior Research Fellow at the University of Oxford, affiliated with the Department of Engineering Science. His research interests include robotics and quantitative finance, as reflected in his affiliations with the Oxford-Man Institute of Quantitative Finance. He can be contacted via email at jan@robots.ox.ac.uk or through his official research website. His work contributes to ongoing academic and industry developments in these fields.
Scholar-generated biography
Jan-Peter Calliess is a researcher at Oxford University with expertise in Machine Learning, Control, Finance, Artificial Intelligence, and Numerical Mathematics. His work focuses on developing learning-based control strategies for nonlinear systems, including robust model predictive control and adaptive methods for constrained systems. He also explores financial applications of machine learning, such as sentiment correlation in financial news and market movements. His research integrates Bayesian optimization, Lipschitz optimization, and nonparametric regression techniques to address uncertainty and improve decision-making in dynamic environments. Calliess's contributions span both theoretical and applied aspects of control and machine learning, with an emphasis on real-world applications in finance and robotics.