NYU Courant

A Conference to Celebrate the 70th Birthday of Andrew Majda
Nonlinear Dynamics and Data: Prediction, State Estimation, and Uncertainty Quantification in Complex Systems

Friday, March 15

Location: Warren Weaver Hall, Room 109

8:50	Opening remarks by Russ Caflisch, Director of NYU Courant
9:00 - 9:40	Bjorn Engquist, University of Texas Austin Multiscale Simulation for Boundary Layer Flow
9:40 - 10:20	Nan Chen, University of Wisconsin-Madison A Nonlinear Conditional Gaussian Framework for Extreme Events Prediction, State Estimation and Uncertainty Quantification in Complex Dynamical System
10:20 - 10:35	Coffee Break
10:35 - 11:15	Boualem Khouider, University of Victoria Bayesian parameter inference for a stochastic model for clouds and convection using Giga-LES data
11:15 - 12:00	Katepalli Sreenivasan, Physics, Courant and Engineering, NYU On the vortex reconnection
12:00 - 1:30	Lunch Break
1:30 - 2:10	Andrea L. Bertozzi, UCLA Uncertainty quantification in graph-based classification of high dimensional data
2:10 - 2:50	John Harlim, Penn State University Manifold learning based computational methods
2:50 - 3:05	Coffee Break
3:05 - 3:45	Richard McLaughlin, University of North Carolina, Chapel Hill The interplay of geometry, diffusion, and advection in interior and exterior problems in homogeneous and stratified fluids
3:45 - 4:25	Themis Sapsis, MIT Extreme events in complex dynamical systems: prediction and statistical quantification

Saturday, March 16

Location: Warren Weaver Hall, Room 1302

9:00 - 9:40	Weinan E, Princeton University Mathematical Theory of Neural Network-based Machine Learning
9:40 - 10:20	Dimitris Giannakis, NYU Courant Quantum mechanics and data assimilation
10:20 - 10:35	Coffee Break
10:35 - 11:15	Pierre-Louis Lions, Collège de France Stochastic Hamilton-Jacobi equations and qualitative properties, Part I
11:15 - 12:00	Xin Tong, National University of Singapore Ensemble Kalman filter in high dimensions
12:00 - 1:30	Lunch Break
1:30 - 2:10	Martin Hairer, Imperial College London Title TBA
2:10 - 2:50	Di Qi, NYU Courant Statistical reduced models and rigorous analysis for uncertainty quantification of turbulent geophysical flows
2:50 - 3:05	Coffee Break
3:05 - 3:45	Sam Stechmann, University of Wisconsin-Madison New Perspectives on Atmospheric Data for Subseasonal-to-Seasonal Predictions and Majda's Work on PDEs
3:45 - 4:25	Takis Souganidis, University of Chicago Stochastic Hamilton-Jacobi equations and qualitative properties, Part II

Sunday, March 17

Location: Warren Weaver Hall, Room 1302

9:00 - 9:40	Eric Vanden-Eijnden, NYU Courant Extreme event quantification in dynamical systems with random components
9:40 - 10:20	Michal Branicki, The University of Edinburgh Lagrangian uncertainty quantification and information inequalities for stochastic flows
10:20 - 10:35	Coffee Break
10:35 - 11:15	Yoonsang Lee, Dartmouth College Importance sampling for computationally expensive target distributions
11:15 - 12:00	Peter Kramer, RPI Stochastic Spatial Modeling of Intracellular Transport from Molecular to Cellular Scale
12:00 - 12:40	Esteban Tabak, NYU Courant Conditional density estimation and simulation through optimal transport