My research in applied mathematics is in the field of inverse problems and uncertainty quantification, which involves estimating unknown system parameters using indirect observations and analyzing the changes in predicted outcomes due to changes in the inputs. In particular, I am interested in the design and analysis of efficient and robust nonlinear filtering algorithms for state and parameter estimation within a Bayesian inference framework and the application of such algorithms in analyzing real-world data. Please see my personal website for more information.