I am a second-year PhD candidate in computational neuroscience 🧠 at the Mathis lab of Adaptive Intelligence (PI Prof. Mackenzie Mathis) as part of the ELLIS PhD program and EDEE PhD program in EPFL. I work on understanding how the brain integrates external features in its environment and constructs neural representations models to generalize and extract the relevant information from it 🧩. I have a strong interest in investigating the dynamics 💫 taking place during the formation of such neural representations while learning and performing a task. To do so, I will relate vision 👀 and movements 💪 by exploring the processes at play in active sensing.
PhD in Electrical Engineering, Present
EPFL
MSc in Computational Neurosciences, 2022
EPFL
BSc in Life Science Engineering, 2019
EPFL
Implementation of new functionalities to CEBRA, a dimensionality reduction tool for neural data, using contrastive learning (Nature, 2023).
Semester projets in diverse laboratories of the School of Life Sciences:
PyTorch, ML libraries
Learning and decision-making
Matlab, Java, C++, SQL
Teaching assistant for Master’s course of Prof. Mackenzie. This was the first year that the course was given. This included:
Teaching assistant for third-year Bachelor’s students in the course of Prof. Mackenzie Mathis and Pavan Ramdya. This included:
Teaching assistant for first-year Bachelor’s students in the course of Prof. Jamila Sam and Barbara Jobstmann. Both in person and remotly. This included:
Teaching assistant for second-year Bachelor’s students. Both in person and remotly. This included:
Teaching assistant for first-year Bachelor’s students in the course of Prof. Ivo Furno. Both in person and remotly. This included:
Marathon, semi-marathon, trails
Hiking, skiing, climbing
Sailing, kite-surfing, scuba-diving