About me

I’m a researcher with background in machine learning. Previously, I was working on statistical machine learning, focusing on understanding how to exploit unlabeled data in the context of semi-supervised, positive unlabeled and unsupervised learning (i.e. deep generative models and representation learning). My current research interests lie at the intersection between unsupervised learning and logic. Specifically, I’m interested in devising algorithms which can discover interpretable theories (in terms of logic programs) directly from noisy and ambiguous raw data. I have excellent organizational, communication and presentation skills developed over different teaching and supervising experiences at university as teaching assistant and in sports as ski coach and ski master instructor.

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Apart from research, I like sports in general, especially skiing.

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See here for further information.