Home

Sep 4, 2024, Maths Seminar, U Wisconsin-Maddison, US. Lagrangian Uncertainty Quantification and Information inequalities for Stochastic Flows
Jul 8-12, 2024, SIAM Annual Meeting, Spokane, WA, US. mini: Advances in understanding large-scale behaviour of fluids
Feb 27, 2024, SIAM UQ24, Trieste, Italy. mini: Statistical and Data-Assisted Modelling Approaches for Forecasting and Uncertainty Quantification of Complex Systems
Dec 7, 2023, CUHK Statistics Dept, Hong Kong, Lagrangian Uncertainty Quantification and Information inequalities for Stochastic Flows
Aug 20-25, 2023, ICIAM, Tokyo. mini: Theory, Numerics and Data Driven Methods for Fluids
Apr 12-15, 2022, SIAM Conference on Uncertainty Quantification, Atlanta, US. mini: Information Theory, Data Assimilation and Stochastic Models for Multiscale Nonlinear Systems
Dec 13-17, 2021, AGU Fall Meeting, New Orleans, US. Applied Mathematics Perspectives on Prediction, Uncertainty Quantification, Machine Learning and State Estimation
Jan 2021, AMS Joint Mathematical Meeting, Fluid Dynamics, Turbulence and Data Assimilation, Washington, DC, USA
Nov 5-19, 2020, NRL, Monterrey, US, Workshop on Data Assimilation
Dec 11-14, 2019, SIAM Conference on Analysis of Partial Differential Equations: Rigorous and computational studies of Data Assimilation, Palm Springs, US
Nov 25, 2019, Maths seminar, Shanghai University, China
Nov 7, 2019, Maths Colloquium, Hong Kong University, HK
July 8-12, 2019, AIP Applied Inverse Problems, Grenoble, France
July 8-12, 2019, Equadiff19, Leiden, The Netherlands
June 6, 2019, maths seminar, U. Utrecht, The Netherlands
May 21-25, 2019, SIAM Conf on Dynamical Systems, Snowbird, US
March 15-19, 2019, Courant Institute, NYU, US
Jun 25-29, 2018, Schroedinger Institute, Vienna, Interplay of multi-scale data assimilation with advanced PDE discretisations
March 12-16, 2018, Schroedinger Institute, Vienna, Mathematical aspects of Physical Oceanography
Nov 13-17, 2017, IPAM, UCLA, USA, , Uncertainty Quantification for Stochastic Systems
Sep 12, SciCADE’17, Bath, UK, Inverse Problems and Data Assimilation
Aug 21-25, 2017, SAMSI, NC, USA
Jul 10-14, 2017, SIAM Annual Meeting, Pittsburgh, PA, USA
May 8-10, 2017, LMS/Turing workshop on Inverse Problems and Data Science, Edinburgh
Jun 25-23, 2017, (ENOC17), 9th European Nonlinear Dynamics Conference Budapest, Hungary
Mar 27 - 29, 2017 (FU Berlin, Zuse Institute) SFB114, Information-theoretic methods for complex systems
Jan 9-12, 2017 (Institute for Advanced Study, TU Munich) Machine learning challenges in multiscale systems
Oct 23-29, 2016 (CiC, UNAM, Mexico) Partial orders, Mixing, Majorization and Applications
Sep 30 - Oct 2, 2016 (Philadelphia, USA) SIAM Conference on Mathematics of Planet Earth, minisymposium: Recent Theoretical and Computational Advances in Prediction of Rare and Extreme Events
Jul 1-5, 2016 (Orlando, FL, USA) 11th AIMS Conference on Dynamical Systems, Differential Equations and Applications, minisymposium: Data assimilation and nonlinear filtering, “Well-posedness and accuracy for a class of nonlinear mini-max filters"
April 2016 (Schneefernerhaus, Germany), Information Theory and Earth Sciences, plenary talk: "Interplay between information theory, uncertainty quantification, and improving reduced-order predictions"
April 2016 (SIAM UQ, Lausanne, Switzerland), minisymposium "Perspectives on model-informed data assimilation"
Dec 14-16, 2015 (Isaac Newton Institute, Cambridge, UK), ATI scoping workshop on ‘Data-Rich Phenomena - Modelling, Analysing & Simulation Using Partial Differential Equations’, talk `Data-Driven Uncertainty Quantification in PDE/ODE Models: Information-Theoretic Perspective"
Nov 2015 (Durham, UK) maths seminar, "Fundamental limitations of polynomial chaos expansions for uncertainty quantification"
June 10, 2015, (Edinburgh, UK) workshop on Bayesian Inverse problems, “Well-posedness of Bayesian filtering algorithms with model error"
March 7-8, 2015 (Georgetown University, Washington DC) AMS sectional meeting: Data Assimilation: Recent Progress in Theory, Methods and Applications, “Quantifying Bayesian filter performance through path-space information theory"
March 1-6, 2015 (Les Houches, France) workshop: Theoretical Advances in Planetary Flows and Climate Dynamics, “Multi model mixture density estimators & information theory for stochastic filtering and prediction”