Duc-Lam Duong

I am a postdoctoral researcher in mathematics. My research involves Bayesian inverse problems, inverse problems governed by PDEs and mathematical modelling.

In recent projects, I have been developing consistent methods for solving large-scale inverse problems and rigorous convergence analysis of such methods. This includes establishing optimal design of experiments for inverse problems and deriving stability estimates for certain approximations, and leveraging modern machine learning techniques, such as score-based diffusion models. I am also interested in analysis and numerics of PDEs, mathematical modelling and applications.