Élie Michel
École normale supérieure
Arts & Technologies de l'Image
elie.michel@ens.fr
45 rue d'Ulm —
75005
github.com/eliemichel
exppad.com
elie.michel@ens.fr
45 rue d'Ulm —
75005
github.com/eliemichel
exppad.com
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)
2011
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
Speech Recognition.
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.
Computer Programming
Python, C, C++, C#, Lua, OCaml, Java, MATLAB.
Various programming paradigms and software architecture.
Deep Learning
Neural Net architectures (DNN, RNN, CNN).
Deep Learning tools (Torch, Theano, TensorFlow).
Web technologies
HTML, CSS, JavaScript, NodeJS, PHP.
Languages
French (mother tongue), English (business level), German (ein bischen).
Music
Harpsichord (5 yrs), Guitar (2 yrs), Piano (2
yrs).
Studied solfège, and a bit of Music History.
Custom Engines
Game Engines
3D Modeling
2D Graphics
Rendering
Compositing
Internet and Indie Web
Self-hosted web services and linux server administration.
Hacking and electronics
Member of the ENS hack-lab, hackEns (http://hackens.org/)
Sociology
Especially related to digital worlds
Photography
Pedagogy
Mountaineering
Climbing, Walking, Nature
Eurographics 2015
Generation of Folded Terrains from Simple Vector Maps
Élie Michel, Arnaud Emilien, Marie-Paule Cani. In Eurographics. 2015. [PDF]
Sept 2017
M.Sc. Internship Report Thesis
Élie Michel. M.Sc. Internship Report Thesis, at Télécom ParisTech - CG Group, with Tamy Boubekeur. [PDF]
Jan 2017
Paper review about acoustical radiosity
Élie Michel. For MVA lecture Audio Signal Analysis, Indexing and Transformation. 2016-2017. [slides]
Jan 2017
Review of Image Fusion with Guided Filtering
Élie Michel. For MVA lecture Introduction à l'image numérique. 2016-2017. [HTML] [slides]
Jan 2017
Communication in Collaborative Multi-Agent Reinforcement Learning
Élie Michel. For MVA lecture Reinforcement Learning. 2016-2017. [PDF] [slides]
Dec 2016
Review of GPU-based Fast-FFD implementation
Mathilde Bateson, Élie Michel. For MVA lecture Introduction to Medical Image Analysis. 2016-2017. [PDF] [slides]
Aug 2015
Using Deep Neural Networks for Automated Speech Recognition
Élie Michel. M.Sc. first year internship report. 2015. [PDF]
Aug 2014
Génération procédurale de paysages à partir de cartes vectorielles
Élie Michel. B.Sc. internship report. 2014. [PDF]
Jan 2014
Projet de microprocesseur
Élie Michel, Nicolas Jeannerod, Louis Garrigue, Aurélien Delobelle. For ENS lecture Système digital. 2013-2014. [PDF] [slides]
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:
I've been making video games for a long time, and dedicated a whole page to it:
Some of them are published on itch.io: