Théo Galy-Fajou

Théo Galy-Fajou is a skilled individual currently working at PlantingSpace as a Julia software developer and Bayesian inference researcher. Before this, Théo gained experience as a Research Associate at Berlin Institute of Technology and as an Intern in Machine Learning at Humboldt-Universität zu Berlin. Théo also has a background in physics, having served as a Teaching Assistant at The University of Edinburgh, EPFL, and Lancaster University. Théo holds a Doctor of Philosophy - PhD in Artificial Intelligence from Technische Universität Berlin, as well as a Master's degree in Physics from EPFL. Additionally, Théo has a minor in Computational Science & Engineering and a Bachelor's degree in Physics.