Hey !
Welcome! I'm Quentin, a Computational Physicist and AI specialist finalizing my PhD at the University of Lausanne (UNIL) and Lausanne University Hospital (CHUV). My research is at the intersection of physics, simulation, and machine learning, where I develop theoretical models from first principles (solving systems of differential equations) and use advanced AI (XAI, Bayesian inference) to model complex, real-world systems.
My foundation is in engineering, with an MSc in Aerospace Engineering from ISAE-SUPAERO and an MSc in AI & Computational Neuroscience from EPFL. This cross-disciplinary background allows me to deconstruct complex challenges, whether in aerospace, physics, or biology, and build robust, quantitative solutions.
A cornerstone of my PhD was a 9-month research fellowship at the MGH/HST Martinos Center for Biomedical Imaging (Harvard/MIT). There, I led a project to optimize MRI acquisition protocols, developing AI-driven simulation frameworks for next-generation hardware.
My core passion is applying this quantitative toolkit to complex biological problems, particularly in neuro-engineering. This extends to my personal projects, where I build and experiment with Brain-Computer Interfaces (BCI). You can explore these projects here.
I am now seeking full-time R&D, quantitative modeling, or engineering roles starting at the end of 2025. If my profile aligns with your need for a problem-solver at the intersection of physics-informed AI and complex systems, please don't hesitate to reach out and connect.
