Jan-Peter Calliess

Senior Research Fellow

Jan-Peter Calliess is a Senior Research Fellow at the Oxford-Man Institute of Quantitative Finance. His interests include a wide range of topics pertaining to decision-making and computational learning. He has published in various communities related to artificial intelligence, including papers on machine learning, control, signal processing, optimisation and multi-agent systems. Apart from working on new learning algorithms and their theoretical understanding, he is also currently investigating applications of machine learning to finance, control and dynamical systems.


Published Research

Calliess, J. (2017). Lipschitz optimisation for Lipschitz Interpolation.