Hello, I am Simon 👋
I am currently working as a senior AI/ML engineer at Logitech . Previously, I was working in the research team at the Swiss Data Science Center , conducting my doctoral studies in computational statistics at ETH Zurich , and studying at TU Munich .
Code
You can find my software on GitHub . Some recent projects are:Research interests
Generative modelling, (causal) representation learning, semi-supervised learning, time series models, signal processing, numerical computing.Recent work
- High resolution seismic waveform generation using denoising diffusion ( arXiv:2410.19343 ): A bespoke diffusion model trained from scratch on real earthquakes, i.e., audio signals, to synthesize realistic, high-frequency seismic waveforms.
Keywords: denoising diffusion, score matching, signal processing - Causal posterior estimation ( arXiv:2505.21468 ): A new method for simulation-based inference that exploits the conditional independence structure of the posterior programs and encodes it into a new NN architecture.
Keywords: simulation-based inference, flow matching, causality - Simulated-Annealing ABC with multiple summary statistics ( arXiv:2505.23261 ): We propose a novel ABC method that works well on high-dimensional parameter and data spaces using Simulated Annealing.
Keywords: ABC, MCMC - Simulation-based Inference with the Python Package sbijax ( arXiv:2409.19435 ): A Python package implementing simulation-based inference and ABC methods in JAX.
Keywords: simulation-based inference, ABC, Python, JAX - More to come soon...
Currently reading
- Erich Fromm, Fear of Freedom
- Erich Fromm, The Sane Society
- Hartmut Rosa, Resonance
- Francois Le Gall, Brownian Motion, Martingales, and Stochastic Calculus