PhD candidate at the Causal Learning and Artificial Intelligence Lab, IST Austria, supervised by Francesco Locatello.
Research focuses on compositional generalization and out-of-distribution detection.
Studies the structure of learned latent spaces by leveraging geometric and statistical properties of encoded features to understand and improve generalization.
Recently interested in virtual cell modeling via generative approaches to study generalization in generative models.
Co-affiliated with the Chan Zuckerberg Initiative's AI for Science program, which supports his PhD research.