About Me

Hi! I'm a first year ELLIS PhD student at the MPI for Intelligent Systems advised by Prof. Bernhard Schölkopf, and supported by the Hector Fellow Academy.

I am interested in understanding the internal mechanisms of large language models (LLMs), particularly their "world models"—the structured representations they develop to interpret and make sense of data. My work falls within the field of Mechanistic Interpretability that tries to dissect these systems to uncover their underlying processes, behaviors, and limitations. Beyond LLMs, I am intrigued by the broader concept of "world models"—representations of the world that enable predictive reasoning. These models will be fundamental to building systems that can anticipate and adapt to complex environments!

Before starting my PhD, I did a BSc in mathematics at EPFL and spent one year at ENS in Paris (Ulm). I then transitioned to pursue a MSc in Neural Systems and Computation at ETH Zürich. During my master, I worked by Prof. Maneesh Sahani at the Gatbsy Unit in London on non-generative representation learning.