I'm a fourth-year PhD candidate at the M-Lab of Adaptative Intelligence 🐭.
🔭 I develop data-driven models that combine vision 👀, movement 💪, decision-making 🧩, and neural signals to study how agents act under uncertainty. My research focuses on representation learning and contrastive learning on high-dimensional behavioral and neural data. I'm also exploring reinforcement learning to understand how agents actively seek information in a task-driven manner.
- 👩🎓 EPFL alumna 🇨🇭, specialization in computational engineering & neuroscience 🧠
- Master's thesis at the Uchida Lab (Harvard University), on the neural basis of belief state computation in the brain.
- 🌐 Check out my website.