Summary
Amaury Durand is a research engineer with 10 years of experience at the intersection of machine learning, signal processing and electricity systems, currently working at EDF. He earned a strong academic grounding with a PhD-linked industrial thesis between Télécom Paris and EDF and subsequent postdoctoral work at Sorbonne Université focused on time series forecasting and online model evaluation for electricity demand. His background blends rigorous applied mathematics and high-precision engineering—top grades in signal processing and stochastic methods—applied to real-world energy problems. He has hands-on experience moving models from research to industry through internships and research roles across academia and companies, including work on music ML and cloud-based ML during earlier internships. Colleagues would note his ability to combine theoretical depth in functional data analysis with pragmatic evaluation pipelines for online forecasting.
10 years of coding experience
1 year of employment as a software developer
ATHENS Certificate,, Introduction into Finite Elements and Algorithms, ATHENS Certificate,, Introduction into Finite Elements and Algorithms at Delft University of Technology
Télécom Paris
Master of Engineering (M.Eng.), Signal processing - Stochastic processes and scientific computing, GPA : 3.99/4, Master of Engineering (M.Eng.), Signal processing - Stochastic processes and scientific computing, GPA : 3.99/4 at Telecom ParisTech
Classes préparatoires aux Grandes Ecoles, Mathematics, Physics, Classes préparatoires aux Grandes Ecoles, Mathematics, Physics at Lycée Saint-Louis (Paris)
Scientific Baccalaureate, Specialised in mathematics, Summa Cum Laude, Scientific Baccalaureate, Specialised in mathematics, Summa Cum Laude at Lycée Lyautey (Casablanca)
Mathématiques de l'aléatoire (StatML), Applied Mathematics, Mention très bien, Mathématiques de l'aléatoire (StatML), Applied Mathematics, Mention très bien at Université Paris-Sud
French, English, Spanish