About me

I am third-year PhD student in the FoX team of the CRIStAL laboratory, University of Lille, France.

Previously, I was a research intern at the 3IT, Sherbrooke, Canada.

Research

My research focuses on Spiking Neural Networks (SNNs), an area at the intersection of neuroscience and machine learning.

Specifically, I study supervised training of SNNs based on Spike-Timing-Dependent Plasticity (STDP), a learning rule derived from synaptic plasticity observed in our brain. In addition, I explore how competition between neurons through Winner-Takes-All (WTA) can enhance the learning processes. I apply my methods to computer vision tasks, such as object classification or action recognition.

My long-term goal is to enable on-chip training of SNNs on neuromorphic hardware, which may significantly reduce the energy consumption of modern deep learning methods.

Recent updates

• [Nov. 2024] I will be attending NeurIPS 2024 in Vancouver, Canada, from December 10th to 15th. Excited to present my latest work in a poster session!