2017 - (2020)
Arts & Technologies de l'Image, Université Paris 8 (Paris)
Computer Graphics, Computer Arts, 3D Modeling, Rendering, Compositing, Game Engines, Animation, VFX
2016 - 2017
M.Sc. in Computer Science — M2 MVA, École normale supérieure de Cachan (Cachan)
Applied Mathematics, Machine Learning, Graphical Models, Reinforcement Learning, Computer Vision, Medical Imaging, Computational Photography, 3D Point Clouds
2014 - 2015
M.Sc. in Computer Science — M1 MPRI, École normale supérieure (Paris)
Category theory, Computer Vision, Machine learning, Robotics, Software engineering, Quantum Computing.
2013 - 2014
B.Sc. in Computer Science, École normale supérieure (Paris)
Algorithmics, Compilation, Formal languages, Lambda calculus, Hardware systems, Operating systems, Networks, Signal processing. Passed with Mention Très Bien (highest honors)
2011 - 2013
Classes Préparatoires aux Grandes Écoles (MPSI, MP*), Lycée Saint-Louis (Paris)
Admitted at the École normale supérieure in Mathematics, Physics and Computer Science, ranked 20 (out of 1480)
Scientific Baccalauréat, Lycée Les Pierres Vives (Carrières sur Seine)
With music minor, Passed with Mention Très Bien
Apr. 2017 - Aug. 2017
Research intern in Computer Graphics, Télécom ParisTech, Paris, France
Geometry-Material-Lighting synchronized models for multi-resolution real-time rendering, supervised by Pr. Tamy Boubekeur.
Feb. 2016 - Aug. 2016
Software Developer, rise|fx, Berlin, Germany
Development of render farm manager and pipeline tools for Visual Effects artists.
Nov. 2015 - Feb. 2016
Independent Contractor in Deep Learning R&D, Interactions, Tele-working
Assist with Deep Neural
Networks optimization activities for Automatic
Development of a flexible experimentation setup.
May - Oct. 2015
Research intern in Deep Learning, Interactions, New York, US
Exploration of applications of Deep and Recurrent Neural Networks to Automatic Speech Recognition, supervised by Dr. Patrick Haffner.
June - July 2014
Research intern in Computer Graphics, IMAGINE, Inria Grenoble, France
Procedural generation of terrain from simple vector map using plate tectonics and erosion simulation on GPU, supervised by Pr. Marie-Paule Cani.
2014 - 2015
Developer and designer of CitizenWatt, http://citizenwatt.paris
Electrical consumption sensor and easy-to-use data visualization interface, supported by Paris city hall.
Python, C, C++, C#, Lua, OCaml, Java, MATLAB.
Various programming paradigms and software architecture.
Neural Net architectures (DNN, RNN, CNN).
Deep Learning tools (Torch, Theano, TensorFlow).
French (mother tongue), English (business level), German (ein bischen).
Harpsichord (5 yrs), Guitar (2 yrs), Piano (2
Studied solfège, and a bit of Music History.
M.Sc. Internship Report Thesis
Paper review about acoustical radiosity
Élie Michel. For MVA lecture Audio Signal Analysis, Indexing and Transformation. 2016-2017. [slides]
Review of Image Fusion with Guided Filtering
Communication in Collaborative Multi-Agent Reinforcement Learning
Review of GPU-based Fast-FFD implementation
Using Deep Neural Networks for Automated Speech Recognition
Élie Michel. M.Sc. first year internship report. 2015. [PDF]
Génération procédurale de paysages à partir de cartes vectorielles
Élie Michel. B.Sc. internship report. 2014. [PDF]
Projet de microprocesseur
I enjoy writing in a more relaxed style and, although I couldn't get myself to feed it regularly, I hold a blog: https://blog.exppad.com
The blog is fairly technical, interleaved with a couple of thought posts, but I also like creative writing. I keep a log of more or less redacted ideas in a secure offline device: