Experience

MM Smart Me Up

• France
• Research Services
• 1 - 100 Employee

• Senior Data Engineer

  • Jul 2022 - Present

  - Team lead for development of an embedded gesture recognition algorithm (precision > 95%).- Supervision of the internal online data-annotation platform.- Supervision of the data-annotation team.In charge of all data acquisition, processing, labelling and hosting for Marelli - Smart Me Up

• Computer Vision Research Engineer

  • Apr 2020 - Jun 2022

  - Created and maintained the internal library for R&D in Deep Neural Networks. Features: web visualization, reproducibility, CI & CD.In charge of watching and adapting state-of-the-art results in Machine Learning to reproduce them for embedded Autonomous Driving.In charge of maintaining the python libraries and toolchain for the AI R&D team.



EPFL (École polytechnique fédérale de Lausanne)

• Switzerland
• Higher Education
• 700 & Above Employee

• Lecturer in Statistics and Machine Learning

  • Sep 2016 - Apr 2020

  Independent research in Statistics and Machine learning. Established correctness of existing algorithms for Variational Inference Derived and implemented new algorithms for Variational Inference Created and implemented a new method to verify the quality of the solution provided by variational inference algorithms Responsible for creating and teaching four 28h classes (Bachelor, Master and Doctorate level) Supervision of one PhD student and four Master students Independent research in Statistics and Machine learning. Established correctness of existing algorithms for Variational Inference Derived and implemented new algorithms for Variational Inference Created and implemented a new method to verify the quality of the solution provided by variational inference algorithms Responsible for creating and teaching four 28h classes (Bachelor, Master and Doctorate level) Supervision of one PhD student and four Master students



University of Geneva

• Switzerland
• Research Services
• 700 & Above Employee

• Phd candidate

  • Sep 2012 - Sep 2016

  Investigated human and animal sensory processing: - Proposed a deep-learning model of human visual processing of a scene to count objects - Proposed a statistically-optimal model of auditory processing to locate a sound-source Investigated statistical algorithms: - Established the correctness of the Expectation Propagation algorithm, fifteen years after its proposal (Minka, UAI, 2001) - Linked Expectation Propagation to other algorithms that are better understood Investigated human and animal sensory processing: - Proposed a deep-learning model of human visual processing of a scene to count objects - Proposed a statistically-optimal model of auditory processing to locate a sound-source Investigated statistical algorithms: - Established the correctness of the Expectation Propagation algorithm, fifteen years after its proposal (Minka, UAI, 2001) - Linked Expectation Propagation to other algorithms that are better understood