👋 Welcome to my personal page!
I am a PhD in Statistics and Data Science from the University of Toulouse, specializing in Gaussian Process (GP) emulation, Bayesian optimization, and calibration of expensive computer models.
My doctoral research was jointly supervised by Prof. Clémentine Prieur (University of Grenoble Alpes), Prof. François Bachoc (University of Lille), Dr. Miguel Muñoz Zúñiga, and Dr. Sarah Bouquet (IFP Energies Nouvelles).
I hold dual engineering degrees from ENSAI (Statistical Engineering) and INSEA (Statistics and Applied Economics).
My academic background bridges theoretical statistics and applied data science, with an increasing focus on artificial intelligence and uncertainty quantification.
My research interests focus on the development and understanding of machine learning models, particularly their mathematical foundations and implementation from scratch.
Through this page, I aim to share my learnings, experiments, and projects in data science and AI.
“Focus is the superpower that turns your intentions into results.” – Robin Sharma.