I am a postdoctoral researcher at LIRIS, at the faculty of Economics and Business at KU Leuven (Belgium), specializing in the application of machine learning within a process mining context.

At the moment, I am working on a project on process model forecasting with prof. Johannes De Smedt and prof. Jochen De Weerdt. Other projects I have been involved in include among others evaluation metrics of predictive process monitoring solutions, ML-driven conformance checking of process models, and adversarial attacks for robustness checks in predictive process monitoring.

I have succesfully defended my PhD dissertation on “Novel Conformance Checking Methods and Validation Strategies for Deep Learning in Process Mining” in 2023.