My research activities have been generously supported by many programmes, institutes, and agencies over the years, and these are listed below.
Present sources of funding and support
- Project 415980428 “Analysis of maximum a posteriori estimators: Common convergence theories for Bayesian and variational inverse problems”, as PI, funded by the German Research Foundation (DFG), 2020–2021.
- Project TrU-2 “Demand modelling and control for e-commerce using RKHS transfer operator approaches”, as co-PI, funded by Germany's Excellence Strategy, part of the Berlin Mathematics Research Center MATH+ (EXC-2046/1, project ID: 390685689), 2019–2020.
Past sources of funding and support
- The US National Science Foundation (NSF) under grant DMS-1127914 to the Statistical and Applied Mathematical Sciences Institute (SAMSI) and SAMSI's 2017–2018 Quasi-Monte Carlo Working Group II “Probabilistic Numerics”, working group co-chair, 2017–2018.
- Project CH-15 “Analysis of Empirical Shape Trajectories”, as co-PI, funded by the Einstein Center for Mathematics ECMath and the Berlin Mathematics Research Center MATH+, 2017–2019.
- Project 337475393 (SFB1114/A06) “Enabling Bayesian uncertainty quantification for multiscale systems and network models via mutual likelihood-informed dimension reduction”, as project PI, funded by the German Research Foundation (DFG), part of SFB1114 Scaling Cascades in Complex Systems, 2017–2018.
- The King's College London – Freie Universität Berlin Funding Programme for Joint Research Workshops, as a workshop proposer and co-organiser, 2017.
- The Freie Universität Berlin within Germany's Excellence Initiative, as a supported junior research group leader, 2015–2020.
- “Optimal design and uncertainty quantification of graphene meta-materials and applications to photovoltaics”, as co-PI, funded by the University of Warwick International Partnership Fund, 2013–2014.
- The US Junior Oberwolfach Fellows project, funded by NSF Grant 0540019, 2012.
- The Oberwolfach Leibniz Graduate Students programme, 2010.
- The California Institute of Technology's ASC/PSAAP Center for the Predictive Modeling and Simulation of High Energy Density Dynamic Response of Materials, as a funded postdoctoral researcher, funded by the US Department of Energy NNSA (award DE-FC52-08NA28613), part of the Predictive Science Academic Alliance Program, 2009–2012.
- The University of Warwick Research Development Fund, supporting an extended research visit to the California Institute of Technology, 2007.