Sileye BA

LinkedIn Profile  

GitHub Repositories

Education

• PhD in Statistical modelling Applied to Video Sequence Processing, Ecole Polytechnique Federale de Lausanne (EPFL), Institut de Recherches IDIAP, Switzerland

• Master of Mathematics, Computer Vision, and Machine learning, Ecole Normale Superieure (ENS) de Cachan, France

Professional Experience

• • May 2020-Present: Senior Machine Learning Scientist at L'Oreal Research & Innovation Paris with a tech lead role on projects about computer vision and deep learning for human face and hair modelling from images. 

  • January 2020-Present: Part-time Adjunct professor at Neoma Business School Paris teaching an introductory  course to machine learning and Artificial intelligence for finance with topics about supervised learning, deep learning, unsupervised learning, reinforcement learning, and generative AI. 

  • November 2017-May 2020: Senior Machine Learning Scientist at Dailymotion working computer vision and machine learning, and deep learning models for video categorization from image and text features.

  • March 2016-October 2017: Senior Researcher at Videostitch working on computer vision and machine learning models for panoramic 360 cameras processing for virtual reality.

  • May 2014-February 2016: Researcher in the Perception Team of INRIA Grenoble Rhone-Alpes working on computer vision and machine learning models for human and humanoid robots interactions from audio-visual data  

  • March 2013-May 2014: R&D Engineer at RN3D Innovation Lab working on computer vision and machine learning for human machine interface modelling from multi-modal stereo cameras (near infrared, RGB, depth)

  • May 2009-Feb. 2013: Post-doctoral researcher  in Signal and Communication Department of Telecom Bretagne (Brest, France) working  on the characterisation, detection and tracking of spatio-temporal events from multi-modal satellite images (sea surface temperature, ocean chlorophyll, ocean surface currents)

  • March 2007-April 2009: Post-doctoral researcher at IDIAP Research Institute working on  probabilistic models for joint head tracking and pose estimation, visual focus of attention and conversational events recognition from audio-visual data