Postdoctoral Researcher at the University of Helsinki
I work at the interface of machine learning, probability, and biological modeling.
My current projects focus on:
- Amortized simulation-based inference for mechanistic simulations
- Scalable Bayesian inference for large hierarchical dynamical systems
- Diffusion models, flow matching, consistency models, mean flows, etc., for interpretable scientific modeling
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Diffusion Models In Simulation-Based Inference: A Tutorial Review
(TMLR 2026) https://bayesflow-org.github.io/diffusion-experiments/ -
Conditional Mean Flows: Few-Step Densities for Simulation-Based Inference
(preprint) doi:10.48550/arXiv.2610.21657 -
Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference (preprint) doi:10.48550/arXiv.2604.18319
-
Simulation-Based Inference of Cell Migration Dynamics in Complex Spatial Environments
(npj Systems Biology and Applications, 2026) doi:10.1038/s41540-026-00648-9 -
Compositional Amortized Inference for Large-Scale Hierarchical Bayesian Models
(ICLR 2026) doi:10.48550/arXiv.2505.14429 -
An Amortized Approach to Nonlinear Mixed-Effects Modeling Based on Neural Posterior Estimation
(ICML 2024) https://proceedings.mlr.press/v235/arruda24a.html
