Bio

I am a graduate student in Computer Science at Georgia Tech, specializing in NeuroAI with a focus on sequence modeling. I’m a member of the NerDS Lab, where I have the privilege of being advised by Prof. Eva Dyer. My research interests span across neuro foundation models, time series transformers, state space models, and their applications, including brain-computer interface and neural decoding. Prior to this, I obtained a Master of Engineering in Computer Science at Université de technologie de Compiègne and gained industry experience with large-scale datasets and applications as an intern at Deezer.

News

May 2025: Neural Encoding and Decoding at Scale (NEDS) spotlight at ICML!
May 2025: Graduated from Georgia Tech!
Feb 2025: Graduated from UTC – Université de technologie de Compiègne!

Education

MSc in Computer Science, Georgia Tech , 2025
MEng in Computer Science, UTC – Université de technologie de Compiègne , 2025
Visiting Student, Politecnico di Milano , Spring 2021

Research Experience

NerDS Lab, Graduate Research Assistant, Atlanta , Spring 2025
Motor Neural Data Spiking Decoding with Self-Supervised Learning.
Supervised by Prof. Eva Dyer

Heudiasyc Lab, Graduate Research Assistant, Compiègne , Fall 2023
Localization Prediction in a Weakly Supervised Setting.
Supervised by Prof. Julien Moreau & Prof. Philippe Xu

Industry Experience

Deezer, Machine Learning Engineer Intern, Paris , Fall 2024
User Modeling Leveraging Transformers in a Large-Scale Environment.
Supervised by Théo Bontempelli

Wise Systems, Cloud Engineer Intern, Montreal , Fall 2022
CI/CD Improvements of the Infrastructure as Code Deployed with Terraform.
Supervised by Clément Contini