Xingye Kan

IMA Postdoc, 2012-2014

About me
I am a postdoctoral research fellow at the Institute for Mathematics and its Applications at the University of Minnesota, coming from Hefei. My research interests include stochastic dynamical systems—simulating invariant stochastic slow manifolds, quantifying uncertainty, analyzing and computing dynamical quantities such as mean exit time and escape probabilities. I am passionate about applying my mathematical knowledge of dynamical systems, stochastic analysis and computation as well as collaborative research experiences to the biological and other natural and engineering sciences.

Education
Ph.D. in Applied Mathematics, Illinois Institute of Technology, 08/2012
B.S. in Applied Mathematics, Hefei University of Technology, 07/2007

Research interests
Stochastic dynamical systems and uncertainty quantification;
Stochastic and computational approaches for modeling, analyzing, simulating and predicting of random and multi-scale phenomena in biological systems;
Stochastic partial differential equations driven by non-Gaussian noises and computation

Contact
Institute for Mathematics and Its Applications
University of Minnesota, Minneapolis
425 Lind Hall
207 Church St SE
Minneapolis, MN 55455
Phone: (612)-624-5058
E-mail: xykan@ima.umn.edu