Home
/
Team
/
Simon Dirmeier
Simon Dirmeier

Simon Dirmeier

Senior Data Scientist
Research
(Alumni)

Simon joined the SDSC as a senior data scientist in April 2022. He conducted his doctoral research on statistical modeling of high-dimensional genetic data at ETH Zürich and earned his MSc and BSc degrees in computer science from the Technical University of Munich. His research interests lie broadly in probabilistic machine and deep learning, generative modeling, causal inference, and approximate inference. Simon is an avid open-source software contributor, with a particular enthusiasm for probabilistic programming languages and numerical computing.

Projects

IRMA

Completed
Interpretable and Robust Machine Learning for Mobility Analysis
Engineering

FLBI

In Progress
Feature Learning for Bayesian Inference
Physics

HighFEM

In Progress
High Frequency Earthquake Modelling
Climate & Environment

Publications

Ulzega, S.; Beer, J.; Ferriz-Mas, A.; Dirmeier, S.; Albert, C. "Shedding Light on the Solar Dynamo Using Data-driven Bayesian Parameter Inference" The Astrophysical Journal 992 1 61 2025 View publication
Dirmeier, S.; Albert, C.; Perez-Cruz, F. "Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation" Proceedings of the 41st Conference on Uncertainty in Artificial Intelligence 2025 View publication
Hong, Y.; Xin, Y.; Dirmeier, S.; Perez-Cruz, F.; Raubal, M. "A causal intervention framework for synthesizing mobility data and evaluating predictive neural networks" Transportation Research Interdisciplinary Perspectives 31 101398 2025 View publication
Dirmeier, S.; Mira, A. "Causal Posterior Estimation" Preprint 2025 View publication
Albert, C.; Ulzega, S.; Dirmeier, S.; Scheidegger, A.; Bassi, A.; Mira, A. "Simulated Annealing ABC with multiple summary statistics" Preprint 2025 View publication
Bergmeister, A.; Palgunadi, K. H.; Bosisio, A.; Ermert, L.; Koroni, M.; Perraudin, N.; Dirmeier, S.; Meier, M. "High Resolution Seismic Waveform Generation using Denoising Diffusion" Preprint 2024 View publication
Dirmeier, S.; Ulzega, S.; Mira, A.; Albert, C. "Simulation-based inference with the Python Package sbijax" Preprint 2024 View publication
Dirmeier, S.; Hong, Y.; Perez-Cruz, F. "Synthetic location trajectory generation using categorical diffusion models" Preprint 2024 View publication
Dirmeier, S. "Surjectors: surjection layers for density estimation with normalizing flows" Journal of Open Source Software 9 94 6188 2024 View publication
Dirmeier, S.; Perez-Cruz, F. "Diffusion models for probabilistic programming" NeurIPS Workshop on Diffusion Models 2023 View publication
Dirmeier, S.; Hong, Y.; Xin, Y.; Perez-Cruz, F. "Uncertainty quantification and out-of-distribution detection using surjective normalizing flows" Preprint 2023 View publication

Mentioned in

Case Studies

Contact us

Let’s talk Data Science

Do you need our services or expertise?
Contact us for your next Data Science project!