Designing intelligent systems at the intersection of machine learning and materials science. Building the future of AI-assisted polymer discovery at LIRIS/IMP, INSA-Lyon.
I am a PhD candidate at INSA-Lyon, working within the LIRIS and IMP laboratories. My research focuses on AI-driven polymer design, combining knowledge modeling, counterexample analysis, property prediction, and guided molecular generation to accelerate the discovery of new materials.
Before my PhD, I explored a diverse mix of AI, design, and tech. At GEOVECTORIX, I conceived a virtual and augmented reality platform for museums, combining spatial analysis with immersive design. Then, as a design engineer at TheDIGITALITE, I worked on parametric designs across various architectural projects. Earlier, at LIRIS, I explored federated learning for predictive maintenance, training models to predict the remaining useful life of turbojet engines in a privacy-preserving setup. I hold a background in AI, computer vision, and robotics engineering.
Alongside my research, I teach courses on data science, human-computer interaction, and the digital society at CPE-Lyon and INSA-Lyon. I’m passionate about making cutting-edge AI both accessible and impactful.
A journey from engineering in Cameroon to cutting-edge AI research in Lyon.
All three papers are accepted and published — a milestone I'm genuinely proud of.
Sharing knowledge in data science, HCI, and digital society with engineering students.
If you’d like to discuss, I’d love to hear from you.