I’m a close-to-be-graduated PhD candidate in Computer Science at the University of Buenos Aires, Argentina. I’m passionate about Machine Learning and Software Engineering, two topics which I’ve studied in-depth during my PhD.

Right now, I’m fascinated by the way AI models are becoming incredibly common and making a big impact in society, even though we still don’t fully understand how they work. This has motivated me to dive deep into the field of Mechanistic Interpretability, taking part in the ML Alignment & Theory Scholars (MATS) program, where I worked on a project to build a benchmark for evaluating circuit discovery techniques in compressed models.