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<p>I am a postdoc in the BauLab at Northeastern University, working on the<strong> National Deep Inference Fabric</strong> (NDIF) project to empower interpretability researchers with intuitive and extensible interfaces. Previously, I was a PhD student at the University of Groningen, where I completed my thesis on actionable interpretability for machine translation as a member of the InCLoW team, the GroNLP group and the Dutch InDeep consortium. My supervisors were Arianna Bisazza, Malvina Nissim and Grzegorz Chrupała. Before that, I was a applied scientist intern at Amazon Translate NYC, a research scientist at Aindo, and a Data Science MSc student at the University of Trieste, where I helped found the AI Student Society. My research aims to translate theoretical advances in language models interpretability into actionable insights for improving trustworthiness and human-AI collaboration. To this end, I lead the development of open-source interpretability software projects to enable reproducible analyses of model behaviors. I am also excited about the potential of human behavioral signals for personalizing AI workflows.</p>

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