My research interests
I'm dedicated to research in Neuroengineering because I really enjoy applying my engineering skills to solve problems for patients.
I'm really interested in Brain-Computer Interfaces for rehabilitation, neurofeedback and diagnosis.
If you're interested in these topics, let's keep in touch !
My technical skills
I have strong coding skills in Python, after various projects for classes and internship. I also worked a lot with Matlab for Signal Processing and an internship on motion tracking with inertial measurement units. Feel free to check my GitHub profile.
I also have a good knowledge of Machine Learning and Deep Learning, and I'm currently learning about BCI and EEG signal processing.
Finally, I'm also learning about UX/UI design as I've developed several user applications during projects and internships and web development to be able to enhance my website.
You can learn more about my projects and skills by looking at my CV !
My Current professional Projects
Development for Starburst BCI
Working on the BCI developed in Frederic Dehais' lab by adding multiple features to study its performance and enhance its robustness.
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Studying the state-of-the-art in BCI
I'm studying intensively the state-of-the-art of BCI and EEG to get a better and broader understanding of these research topics.
Development for Timeflux Package
Adding features to Timeflux package during my internship at ISAE-Supaero
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Teacher assistant and particular teacher
I will be assisting teacher for practical classes in neuroengineering at ISAE-Supaero. Also teaching Maths, Physics, Engineering science and Computer science to a student in preparatory classes and a student in high school.
My most relevant achieved projects
EEG-Stroke (2024)
For the last year of engineering school project, we developed in team an intention of movement classification algorithm and a computer application to classify the intention of motion.
Neuroday (2024)
I was a speaker at the student conferences on Neurosciences "Neuroday" organized by Benjamin Delteil, to speak about BCI and the research at ISAE-Supaero.
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fNIRS artifacts of motion (2023)
During my internship at Dr Hasan Ayaz, I have developed a Generative Adversial Network model to generate fNIRS data and compared it to other stats model. The article writing is in progress.
IMU upper-limb motion tracking (2022)
Developed an algorithm in Matlab for upper-limb motion tracking, for post-stroke patient diagnosis.
Link to the paper I'm acknowledged in.