I am a PhD researcher in the Computational Mathematics group under the supervision of Daniel Ruprecht and Sebastian Götschel. My primary field of research interest is Artificial Intelligence (AI). Within AI, I am interested in problems related to machine learning, data mining and their interdisciplinary applications to parallel-in-time methods for time-dependent PDEs. My current research is exploring machine learning-based parallel-in-time methods to solve unsteady nonlinear problems more efficiently. The approach is broadly applicable but we consider as an example, the nonlinear Black-Scholes equation, which may be used to value financial options and to calculate implied volatilities.