Emmanuel C.

Data Scientist

915 dollar
9 years
Vincennes, FRANCE

My experience


FreelanceAugust 2020 - Present

- Consulting in data science, specialized in AI computer vision for several industries: medical, cosmetics, pharmaceutical, military, etc.

- Multiple AI machine/deep learning based applications: 2D/3D image segmentation, registration, image enhancement, object recognition, classification, augmented reality, etc.

- Project management from POC to production with high expertise and efficiency.

- Experience in different working environments: startups or bigger companies.

- Digitalization of pharmacies : software development to automatize the creation of promotional posters.


MCovisionApril 2021 - Present

Mcovision is a Data Science consulting company specialized in Computer Vision applications. Our high expertise with processing images and videos, using cutting-edge Machine and Deep Learning technologies, allows us to build end-to-end solutions for our customers.

DAMAE MedicalFebruary 2019 - October 2020

- Computer vision algorithms using machine/deep learning techniques for medical and cosmetics skin tissues image analysis.
- DAMAE develops an innovative medical imaging technology called LC-OCT based on optical coherence tomography.

- 2D and 3D image segmentation: deep/machine learning, mathematical morphology, differential geometry, minimal path and contour detection, multi-threading and GPU computing.

- Image enhancement, image denoising.

- Integration of the developed algorithms into a new designed user-friendly software.

- Design of quantitative metrics to characterize skin tissues.

- Management of projects for the cosmetic industry: writing and communication of skin data analysis reports.

- Supervision of PhD students and interns.


INSERMOctober 2015 - December 2018

- PhD research in computer vision and image processing applied to new ultrafast ultrasound biological and medical 2D and 3D data.
- Developed within the Langevin Institute, ultrafast ultrasound is a new imaging technique allowing the observation of blood flows with a very fine resolution and no contrast agent.

- Homepage : https://cohenemm.wixsite.com/phdhomepage

- Creation of a neuronavigation system for preclinical brain imaging applications: image registration by correlation, accelerated by multi-threading and CUDA computing.

- 2D and 3D image segmentation algorithms development for modeling and quantification of vascular networks: minimal path extraction from one point, Fast-Marching algorithm, vascular structures filtering.

- Development of methods for tumor analysis and monitoring in rodents: point cloud registration; rigid, non-rigid and deformable models.


Université Paris Dauphine - PSLOctober 2015 - October 2018

- Introduction to numerical methods of linear and non-linear systems: tutorials and practical implementation (Python).

- Introduction to probability and statistics.


Technion - Israel Institute of TechnologyJanuary 2011 - January 2014

- MSc research in computer vision and image processing applied to texture enhancement. 

- Use of the anisotropic diffusion partial differential equation, inspired from physics, to denoise textures images, while preserving high frequencies with a wavelet-based potential.


OCTO TechnologyJuly 2011 - September 2011

Development of a user-friendly mobile application for iPhone

My stack


C++, Python, Matlab

Machine Learning

TensorFlow, Keras, Deep learning, PyTorch

IT Infrastructure

Docker, Git, Linux


Data analysis, Data Science





Big Data

Big Data


Google Cloud, Scikit

My education and trainings

PhD in Computer Vision - Université Paris Dauphine2015 - 2018

Institute of Technology and Innovation - Université PSL2014 - 2015

Master of Science in Computer Vision and Machine Learning - Technion - Israel Institute of Technology2012 - 2014

Bachelor's Degree in Applied Mathematics and Computer Science - École des Ponts ParisTech2009 - 2012