CV

Download CV here

Education

2024-…: FWO Postdoctoral Researcher
- Host: KU Leuven
- Project: Robust Multi-Modal Prediction in Business Processes
2023-2024: Postdoctoral Researcher
- KU Leuven
- Process Model Forecasting
- Supervisor: Johannes De Smedt & Jochen De Weerdt
2019-2023: PhD Researcher
- KU Leuven
- Novel Conformance Checking Methods and Validation Strategies for Deep Learning in Process Mining
- Supervisors: Jochen De Weerdt & Seppe vanden Broucke

2024: Co-author best paper at the International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)
- For the work titled ” Multivariate Approaches for Process Model Forecasting” by Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt , 2024, Copenhagen
2021: Best Paper International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)
- Won best paper together with Seppe vanden Broucke and Jochen De Weerdt for work titled ”Can deep neural networks learn process model structure? An assessment framework and analysis”, 2021, Eindhoven
2020: Winner best PhD team at KU Leuven Datathon
- Our team won the prize for best PhD team at the datathon for our application: Clean Air Route Finder, which could be used to fidn the route between two places in Leuven on which you would breathe in the least particulate matter

2024: FWO grant Junior postdoctoral fellowship
- For the project ’Robust Multi-Modal Prediction in Business Processes’ I have received 3 years funding (starting in October 2024).