About Me

About Me

I currently work as a research scientist at Cairn Biosciences.

Before that, I graduated with a PhD in Image Processing and Computer Vision at the Center for Mathematical Morphology of Mines ParisTech, under the supervision of Fernand Meyer and Santiago Velasco-Forero.

I also hold a M.Sc. degree in Image Processing from Aix-Marseille University and a generalist engineer degree from Centrale Marseille in 2014.

My research interests include

  • Image Processing

  • Graph Signal Processing

  • Computer Vision

  • Pattern Recognition

  • Deep Learning

Find out more.

Job Experiences

Data Scientist

Cairn Biosciences

Cairn Biosciences is delivering next-generation live cell-based assays to guide the efficient and rapid discovery and optimization of safe and efficacious medicines for serious diseases.

Machine-learning and computer vision-enabled analysis platform to extract novel insights from Cairn’s drug discovery engine.

2019 - present


Research Engineer

Mines ParisTech.

PhD in Image Processing, under the supervision of Fernand Meyer and Santiago Velasco-Forero. Thesis subject : Image characterization by local contour signatures. Mathematical morphology, pattern recognition and machine learning.

2014 - 2018


Software Engineer

Amadeus IT Group

Software engineer in the Search, Shopping and Pricing section of Amadeus, and more specifically in the pricing part of the tickets search engine of the company. Programming in C and Perl under Windows.

June-October 2014


Computer Vision R&D Training Period

CEA LIST

The CEA LIST researchers work on smart digital systems, the development is focused on embedded systems, interactive systems, sensors and signal processing. Supervisor: Hervé Le Borgne, research-engineer ; "Objects recognition and localization in images". Creation and implementation of an original algorithm to recognize and localize objects in images (pattern recognition and localization). Work with big databases of image descriptors (big data issues), use of statistical tools, of machine learning theory and image and signal processing tools. Programming in C++ (OOP - oriented-object programming) under Linux. Grade obtained: Very Good.

April-September 2013


Economic Research Training Period

OFCE-Sciences Po

Supervisors : Jean-Luc Gaffard and Lionel Nesta, respectively director and deputy director of the "Innovation, Competition and Growth" department. "Heterogeneity in Markups, Productivity and the Export Status: Evidence from French Manufacturing Firms"(working paper). Use of statistical tools and development of a statistical model (econometrics) to solve an economic problem. Work with big databases, use of the advanced statistics software Stata, writing of an article. Grade obtained: Very Good. Article here:

Heterogeneity in the Euro Effect on Markups: Evidence from French Manufacturing Firms

June-August 2012


Education

PhD in Image Processing and Computer Vision

Mines ParisTech.

PhD in Image Processing, under the supervision of Fernand Meyer and Santiago Velasco-Forero. Thesis subject : Image characterization by local contour signatures. Mathematical morphology, pattern recognition and machine learning.

2014 - present


Grande Ecole - Information Science and Technology & Management and Entrepreneurship, Last Year GPA: 3.77/4

Centrale Marseille

Statistical Modeling for Complex Systems, Statistics and Probabilities, Statistical Signal Processing, Image Processing, Computer Programming, Finance and Strategy, Project Management, Corporate Strategy, Marketing, Business Plan, Business Valuation

2010-2013


MsC in Signal and Image Processing

Université Paul Cézanne (Aix-Marseille III)

Optics, Photonics, Signal and Image, specialty Signal and Image. Main courses: Signal Processing, Statistical Image Processing, Markov Models for Signal and Image, Wavelets and Multi-Resolution Analysis, Deconvolution Methods, Instrumental Images Retrieval, Medical Imagery

2012-2013