I am a third-year PhD candidate in computational neuroscience at the Mathis Laboratory of Adaptive Intelligence (EPFL, Switzerland). My research lies at the intersection of machine learning and neuroscience, where I develop data-driven models to study and replicate how biological and artifical agents actively seek information in complex and uncertain environements. I work on representation learning, contrastive methods, and time-series analysis of high-dimensional behavioral and neural data. A key focus is understanding how vision and movement interact to support adaptive decision-making.
Beyond neuroscience, I am broadly interested in applications of machine learning to real-world problems — from intelligent systems and robotics to health and brain–computer interfaces. As my PhD progresses, I am extending my work to reinforcement learning, combining behavioral modeling and neural representations to study active information-seeking and adaptive strategies.
- Computational Neurosciences
- Artificial & neural intelligence
- Contrastive & Representation Learning
- Motor Control, Vision & Learning
- Time-Series & High-Dimensional Data
PhD in Electrical Engineering, Present
EPFL
MSc in Computational Engineering & Neurosciences, 2022
EPFL
BSc in Life Science Engineering, 2019
EPFL
Experience
- Working on representation and adaptive learning in biological and artificial networks.
- Part of the European Laboratory for Learning and Intelligent Systems (ELLIS) PhD program.
Implementation of new functionalities to CEBRA, a dimensionality reduction tool for neural data, using contrastive learning (Nature, 2023).
- Joint modeling of auxiliary and time-series data code development and extensions.
- Maintenance of the existing code.
- Building data management & inference pipelines for models and code.
Semester projets in diverse laboratories of the School of Life Sciences:
- Mathis Laboratory of Adaptative Motor Control - Discrete Representation of Behaviors in a multi-agent dataset.
- Herzog Lab - Laboratory of Psychophysics - Modeling of Serial Dependency in Visual Perception.
- Gräff Lab - Laboratory of Neuroepigenetics - Functional Mapping of Remote fear memory extinction.
Skills
PyTorch, ML libraries
Learning and decision-making
Matlab, Java, C++, SQL
Awards
Teaching
Teaching assistant for Master’s course of Prof. Mackenzie Mathis. This was the first year that the course was given. This included:
- Helping with the conception of the course, sections slides and exam questions.
- Leading weekly journal clubs during the exercise sections, orienting the students to have a discussion on the papers we reviewed.
- Follow-up on courses, answering questions and deepening complex concepts.
- Reviewing, proctoring & correcting exams.
Teaching assistant for third-year Bachelor’s students in the course of Prof. Mackenzie Mathis and Prof. Pavan Ramdya. This included:
- Overview presentation at the beginning of every exercises sections.
- Follow-up on courses, answering questions and deepening complex concepts.
- Leading the exercises sessions, orienting students on difficult questions.
- Reviewing, proctoring & correcting exams.
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:
- Follow-up on courses, answering questions and deepening certain theoretical notions.
- Leading the exercises sessions, orienting students on difficult questions.
- Answering on Piazza forum / Zoom chat, keeping students motivated even remotly.
Teaching assistant for second-year Bachelor’s students. Both in person and remotly. This included:
- Follow-up on courses, answering questions and deepening certain theoretical notions.
- Leading the exercises sessions, orienting students on difficult questions.
- Answering on Piazza forum / Zoom chat, keeping students motivated even remotly.
Teaching assistant for first-year Bachelor’s students in the course of Prof. Ivo Furno. Both in person and remotly. This included:
- Follow-up on courses, answering questions and deepening certain theoretical notions.
- Leading the exercises sessions, orienting students on difficult questions.
- Correcting mock-exams and presenting the solutions to the student on white board.
- Answering on Piazza forum / Zoom chat, keeping students motivated even remotly.
Interests
Marathon, semi-marathon, trails
Hiking, skiing, climbing
Sailing, kite-surfing, scuba-diving