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Dan Crisan

photo Dan Crisan

Dan Crisan is a Professor in Mathematics at Imperial College London. His expertise is in the area of Stochastic Analysis with applications in Engineering and Finance. He has published over 30 articles in journals world-wide and his current research involves developing high-order numerical algorithms for solving stochastic and deterministic partial differential equations, approximating schemes for backward stochastic differential equations and particle methods for nonlinear filtering.

His book "Fundamentals of Stochastic Filtering" was published by Springer Verlag in their prestigious series Stochastic Modelling and Applied Probability. He has just completed the editorial work on "The Oxford Handbook of Nonlinear Filtering" - an advanced monograph on the subject. Professor Crisan is a member of the editorial board of the Journal of Mathematics and Computation published by the London Mathematical Society. He has developed and taught a course on Numerical Stochastics within the MSc programme in Mathematical Finance at Imperial College London.

Teaches:


Intermediate Mathematics: Understanding Stochastic Calculus (London)