Summary
Pierre-Etienne Martin is a post-doctoral engineer with eight years of experience specializing in computer vision, video/image processing, and machine learning, currently working on non-invasive behavioral analysis at the Max Planck Institute and CNRS. He completed an IPCV Erasmus Mundus master and a PhD on fine-grained gesture detection and classification in sports, blending spatio-temporal CNNs with applied biomechanics for table tennis. At MPI he coordinated tech development to scale data collection and analysis for comparative cultural psychology, and he now leads PhD supervision and 3D tracking/classification work for baboon behavior. His background includes industry advising on movement quality and injury prevention, highlighting a rare combination of academic rigor and product-oriented algorithm development. Comfortable across research, supervision, and applied deployment, he often focuses on robust, big-data approaches to strengthen behavioral hypotheses. Outside research, early service and international internships hint at practical, cross-cultural communication skills that support collaborative fieldwork.
8 years of coding experience
IPCV - 2sd Semester Image Processing and Computer Vision, IPCV - 2sd Semester Image Processing and Computer Vision at Universidad Autónoma de Madrid
Baccalauréat Mathématiques, Baccalauréat Mathématiques at Lycée Max Linder
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Université de Bordeaux
CPGE : Classe Preparatoire aux Grandes Ecoles PCSI : Physique Chimie et Sciences de l'Ingénieur, CPGE : Classe Preparatoire aux Grandes Ecoles PCSI : Physique Chimie et Sciences de l'Ingénieur at Lycée Camille Jullian
IPCV - 1st Semester Image Processing and Computer Vision, IPCV - 1st Semester Image Processing and Computer Vision at Pázmány Péter Katolikus Egyetem
French, German, Spanish, English