Antoine Movschin

Antoine Movschin started their work experience in 2006 as a Research Intern in Signal Processing and Machine Learning at Queen Mary, University of London. Antoine worked on a research project focused on automatic artist identification.

From 2007 to 2011, Antoine worked as a Research and Development Engineer at Trinnov Audio, where they conducted research and development activities in audio signal processing. Antoine designed digital signal processing algorithms for various audio professions.

Starting from 2011, Antoine joined Air Liquide and held multiple roles. Antoine worked as a Research and Development Engineer, where they focused on the medical field of artificial breathing. Antoine was responsible for formalizing user needs, designing and implementing signal and data processing algorithms, and conducting regulatory analysis. Antoine also initiated the company's Data Science approach.

In 2017, Antoine became the Research and Development Technical Leader at Air Liquide Medical Systems. In this role, they supervised data science activities and set up the reliability and durability approach for medical devices.

In 2018, Antoine joined Qynapse as a Lead Data Scientist. Antoine was in charge of the company's data science activities and specialized in developing machine and deep learning algorithms to support the diagnosis and prognosis of patients with diseases like Alzheimer's disease, Parkinson's disease, and multiple sclerosis.

Currently, Antoine works at Quinten Health as a Lead Data Scientist.

Antoine Movschin studied at Télécom Paris from 2004 to 2007, where they earned an Engineer's Degree in Signal Processing and Machine Learning. In 2007, they attended Universidad Politécnica de Madrid for a brief period and obtained another Engineer's Degree from Escuela Superior de Ingenieros de Telecomunicacion. During this time, they also participated in a research internship at Queen Mary University of London, focusing on Signal Processing and Machine Learning.

In terms of additional certifications, Antoine completed various courses on Coursera. In 2016, they obtained certificates in "Apprentissage automatique," "Practical Machine Learning," "Regression Models," and "Statistical Inference." Then, in 2018, they completed courses in "Convolutional Neural Networks," "Deep Learning Specialization," and "Sequence Models." The institutions providing these certifications were Coursera and Coursera Course Certificates.