Shirin Goshtasbpour

Shirin obtained her PhD in Data Science from ETH in 2024 where she focused on evaluation of high-dimensional probabilistic generative models with sequential sampling algorithms. As a Marie Skłodowska-Curie fellow, she had the opportunity to visit and collaborate with researchers at the Machine Learning groups at UC3M and Eurecom, gaining experience in parameteric and non-parameteric probabilistic models, stochastic differential equations, and optimal transport approximators. Shirin has a keen interest in studying complex stochastic dynamical systems and their application to climate and environmental sciences.