Hi there! I am a PhD candidate in the Data Mining group of Eindhoven University of Technology. I am broadly interested, and I like to work on a diverse range of topics and with people from all kinds of backgrounds. My recent work focuses primarily on developing generative machine learning models for time-evolving data, and applying these models to various scientific domains.
Some recent projects that I have been working on include:
- Embedding domain knowledge in generative models for scientific simulation [1];
- Developing generative models for simulation applications in varying domains, for example nuclear fusion [2] and cell migration [3];
- Correlation Detective, an algorithm for scalable multivariate correlations discovery in large time series datasets [4], [5].
Feel free to reach out if you want to have a chat! My email address can be found on my university homepage.
News
- Dec 20, 2023
- I presented our work on neural simulators for cellular dynamics at the Cellular Potts model workshop in Leiden.
- Sep 22, 2023
- Our paper on equivariant probabilistic neural simulation has been accepted at NeurIPS 2023!
- Sep 14, 2023
- Our paper "Efficient detection of multivariate correlations with different correlation measures" has been accepted for publication in the VLDB Journal!
- Sep 5, 2023
- Our paper on neural PDE solvers for fast divertor plasma simulation in TCV was accepted for publication in Nuclear Fusion.
- Dec 2, 2022
- I traveled to New Orleans to present our paper at the NeurIPS AI4Science workshop.
- Nov 28, 2022
- My master thesis was awarded the best MSc. thesis in Computer Science of the Netherlands by KHMW!
- Sep 30, 2022
- My master thesis received the best MSc. thesis award of Eindhoven University of Technology!
- Sep 5, 2022
- My colleague Jens and I traveled to Sydney to present our paper on Correlation Detective at VLDB.