Chen, Nan - New York University - Department of Mathematics

个人简介

EDUCATION PhD in Mathematics/Atmosphere and Ocean Sciences, April 2016 Courant Institute of Mathematical Sciences, New York, NY Thesis Advisor - Professor Andrew. J. Majda Master in Computational Mathematics, July 2011 Bachelor in Theoretic and Applied Mechanics Fudan University, Shanghai, P. R. China Thesis Advisor - Professor Jin Cheng and Professor Xiaoming Wang PROFESSIONAL EXPERIENCE Graduate Research Assistant, Courant Institute of Mathematical Sciences, New York University, September 2011 - April 2016. Visiting Scholar, Department of Scienti c Computing, Florida State University, September 2008 - August 2009. HONORS Kurt O. Friedrichs prize for an outstanding dissertation in mathematics, New York University, April 2016. McCracken scholarship of New York University, Sept 2011 - May 2016. Towers Perrin Fellowship, Sept 2009 - June 2010. 3rd/1st/2nd Prize in the 7th/8th/9th East China Mathematical Invitation Contest in Modeling, 2005 - 2007. 1st Prize in Shanghai and National 2nd Prize, China Undergraduate Mathematical Contest in Modeling (CUMCM), 2006.

研究领域

Uncertainty Quanti cation, Reduced Model Prediction, Data Assimilation or State Estimation, Madden-Julian Oscillation, El Nino Southern Oscillation, Stochastic Models, Fluids and Geophysical Flows, Inverse Problems

近期论文

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Nan Chen*and Andrew J. Majda, A Simple Stochastic Dynamical Model Cap-turing the Statistical Diversity of El Nino Southern Oscillation, Submitted,September 2016. Nan Chen*and Andrew J. Majda, A Simple Dynamical Model Capturing theKey Features of the Central Paci c El Ni~no, Proceedings of the National A-cademy of Science, accepted and in press, 2016. Sulian Thual, Andrew J. Majda, Nan Chen*and Samuel N. Stechmann, ASimple Stochastic Model for El Ni~no with Westly Wind Bursts, Proceedings ofthe National Academy of Science, 113(37), 10245-10250, 2016. Nan Chen*and Andrew J. Majda, Filtering Nonlinear Turbulent DynamicalSystem through Conditional Gaussian Statistics, Accepted by Monthly WeatherReview, Accepted and published online, April 2016. Nan Chen*and Andrew J. Majda, Model Error in Filtering Random Compress-ible Flows Using Noisy Lagrangian Tracers, Monthly Weather Review, Acceptedand published online, May 2016. Nan Chen, Cheng Wang*, and Steven Wise, Global in time Gevrey regular-ity solution for a class of bistable gradient ows, Submitted to Discrete andContinuous Dynamical System - B, 21(6), 2016, 1689-1711. Nan Chen*and Andrew J. Majda, Filtering the Stochastic Skeleton Model forthe Madden-Julian Oscillation, 144(2), 2016, 501-527. Nan Chen*and Andrew J. Majda, Predicting the Cloud Patterns for the BorealSummer Intraseasonal Oscillation through a Low-Order Nonlinear StochasticModel, Mathematics of Climate and Weather Forecasting, 1(1), 2015. Nan Chen*and Andrew J. Majda, Predicting the Real-time Multivariate Indexfor the Madden-Julian Oscillation through a Low-Order Nonlinear StochasticModel, Monthly Weather Review, 143(6), 2015, 2148-2169. Nan Chen*, Andrew J. Majda, Dimitris Giannakis, Predicting the Cloud Pat-terns for the Madden-Julian Oscillation through a Low-Order Nonlinear S-tochastic Model, Geophysical Research Letters, 41(15), pp. 5612-5619, August2014. Nan Chen, Andrew J. Majda and Xin Tong*, Noisy Lagrangian Tracers forFiltering Random Rotating Compressible Flows, Journal of Nonlinear Science,25(3), pp. 451-488, 2015. Nan Chen, Andrew J. Majda and Xin Tong*, Information Barriers for NoisyLagrangian Tracers in Filtering Random Incompressible Flows, Nonlinearity,27(9), pp. 2133-2163, August 2014. Nan Chen*, Dimitris Giannakis, Radu Herbei and Andrew J. Majda, An M-CMC Algorithm for Parameter Estimation of Signals with Hidden IntermittentInstability, SIAM/ASA Journal of Uncertainty Quanti cation, 2(1), pp. 647-669, November 2014.