Hi there! I am a PhD candidate in the Machine Learning for Physical Sciences group of Eindhoven University of Technology. My recent work focuses primarily on developing generative machine learning models for time-evolving data, and applying these models to various scientific and engineering problems. More generally, I am broadly interested, and I like to work on a diverse range of topics and with people from all kinds of backgrounds.

Some recent projects that I have been working on include:

• Embedding domain knowledge in generative models for stochastic simulation [1], [2], while also leveraging these models to extract new insights [3];
• Developing generative models for simulation applications in varying domains, for example nuclear fusion [4], cell migration [2] and crowd dynamics [3];
• Correlation Detective, a library for scalable multivariate correlations discovery in large time series datasets [5], [6], [7].

Feel free to reach out if you want to have a chat – I am always open to discussions and potential collaborations! My email address can be found on my university webpage.

News

May 1, 2025

Our NeuralCPM paper on neural network-driven simulation of cellular Potts dynamics has been accepted for publication in ICML 2025. See you in Vancouver!

Mar 26, 2025

Our paper on generative models for crowd dynamics simulation and surrogate experiments has been accepted in Nature Scientific Reports.

Dec 15, 2024

We presented our work on probabilistic simulation of crystal growth at NeurIPS-D3S3 in Vancouver.

Dec 4, 2024

I visited the Traffic and Granular Flow conference in Lyon to present our work on neural surrogate experiments and simulation of crowd dynamics..

Jul 27, 2024

We presented our work on fast neural surrogates for two-phase flows at ICML-AI4Science in Vienna.

Dec 20, 2023

I presented our work on neural simulators for cellular dynamics at the cellular Potts model workshop in Leiden.

Dec 11, 2023

I presented our paper on equivariant probabilistic neural simulation at NeurIPS 2023 in New Orleans.

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](https://jdhondt.github.io/) and I traveled to Sydney to present our paper on Correlation Detective at VLDB.