Dr Juan Sabuco
Oxford Martin Programme on Digital Innovation for Sustainable Food
Juan obtained a Bsc+MSc degree in Telecommunications Engineering from Universidad Miguel Hernández and a Master in Physics and Modelling of Complex Systems from Universidad Rey Juan Carlos. During his master thesis he explored the covariant formulation of the Maxwell Equations in order to provide a novel procedure to design invisible devices. He completed his PhD at Universidad Rey Juan Carlos under the supervision of Prof. Miguel A.F. Sanjuán. In his PhD he worked in Nonlinear Dynamics and Chaos Theory developing a new control method of chaotic systems, called Partial Control. During his PhD he also did a research stay at the University of Maryland where he collaborated with Prof. James A. Yorke. He has also held an Assistant Professor position at Universidad Rey Juan Carlos where he has worked on several topics like modelling and control of microeconomic systems, predictability of complex systems and quantum chaos.
He is interested in the development of data acquisition techniques for agent-based models, the calibration of multiparameter models and the use of tools from Nonlinear Dynamics for the purpose of predicting the future behaviour of complex economic systems. He is currently involved in the ESL project, where he uses advanced agent-models in order to study the complexity and multi-dimensional interactions found in the modern insurance markets.
No. 2019-12 - A simulation of the insurance industry: The problem of risk model homogeneity
12 Jul 19
We develop an agent-based simulation of the catastrophe insurance and reinsurance industry and use i...