All Neuroscience Physics Machine learning Diverse covariates modulate neural variability; a widespread (sub)cortical phenomenon (COSYNE, 2022) A universal probabilistic spike count model reveals ongoing modulation of neural variability (NeurIPS 2021) Beyond the Euclidean brain; inferring non-Euclidean latent trajectories from spike trains (COSYNE, 2021) Normalizing Flows for Approximating Probability Densities (Eastern European MLSS, 2020) Langevin equation for charged granular gases (Ludwig Prandtl internship MPIDS Göttingen, 2018) The effects of hand dominance on short-term motor learning of arm movements (Junior Med School Erasmus MC Rotterdam, 2014) Diverse covariates modulate neural variability; a widespread (sub)cortical phenomenon (COSYNE, 2022) A universal probabilistic spike count model reveals ongoing modulation of neural variability (NeurIPS 2021) Beyond the Euclidean brain; inferring non-Euclidean latent trajectories from spike trains (COSYNE, 2021) The effects of hand dominance on short-term motor learning of arm movements (Junior Med School Erasmus MC Rotterdam, 2014) Langevin equation for charged granular gases (Ludwig Prandtl internship MPIDS Göttingen, 2018) A universal probabilistic spike count model reveals ongoing modulation of neural variability (NeurIPS 2021) Beyond the Euclidean brain; inferring non-Euclidean latent trajectories from spike trains (COSYNE, 2021) Normalizing Flows for Approximating Probability Densities (Eastern European MLSS, 2020)