FAIRTIQ
Philippe Monmousseau is a Machine Learning Researcher at FAIRTIQ since June 2025, with extensive experience in data engineering and analysis. Previously, Philippe served as a Data Engineer at datafolio from April 2021 to August 2025, where key contributions included implementing data pipelines, modeling driving behavior for insurance costs, and conducting tech workshops. Prior to that, Philippe worked as a Data Scientist at onepoint, focusing on data governance and AWS implementations. Philippe's academic background includes a PhD from ENAC, specializing in passenger-centric metrics in air transportation. Additional expertise stems from internships at Planet. and ERC HIGHWIND, as well as earlier roles in team management and production optimization. Philippe holds advanced degrees in Aerospace Engineering and Applied Mathematics from prestigious institutions.
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FAIRTIQ
FAIRTIQ is an innovative mobile ticketing system that makes travelling on public transport easier than ever before. The app allows users to easily check-in and check-out rather than buying a ticket from the driver, at a TVM or a booking office, with all the hassle that that involves. At the end of their journey, users are charged the lowest possible price for the actual journey undertaken - whether it is single or multi-leg, or involving more than one operator. Because of low upfront costs, and high customer satisfaction, FAIRTIQ's app offers the perfect solution for all transport companies regardless of size or type. The app uses artificial intelligence based bespoke algorithms drawing on many years of experience in public transport and ticketing to build a highly accurate picture of a user’s journey, making the app very accurate and reliable. Available on Apple iOS and all Android versions, FAIRTIQ’s app can be brought into operation quickly and with minimal disruption, as no on-vehicle or on-station equipment is required.