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I currently work as Research Staff Member at IBM Research (Zürich lab).

My research interests lie mainly in the intersection of formal logic and machine learning.

My current work focuses on reasoning, inference mechanisms, automated theorem proving, probabilistic logic, neural-symbolic methods, neural embeddings for logic, deep learning for standard reasoning systems, and reasoning for automated scientific discovery.

Moreover, I have worked on knowledge representation and extraction, natural language processing, preference representations (in logic, in probability theory, and using graphical models), reasoning over preferences, preference aggregation in a multi-agent context, voting rules (computational social choice), and kidney exchange algorithms.

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