About Théophile
I help companies transform an idea into a scalable product. My focus is on machine learning / data science based systems, where I can intervene at any stage of the development, from the idea to the deployment. I'm interested both in developing new algorithms / AI models and managing teams that develop state of the art products.
- 9 years of experience in data science in both academia and industry.
- Highly proficient in machine learning proven through publications and product development.
- Designed and implemented cutting edge technologies for new services in the financial equity sector, connected cities markets, health-tech and supply chain.
- Bringing advanced Machine Learning technologies from an idea into a final product deployed in large scale around the world.
French
Native or bilingual
English
Native or bilingual
Can work on-site
Lyon (up to 50km), Paris (up to 10km)
Experience
- MonocerosCo-fondateur, CTOINTERNET OF THINGS (IOT)January 2020 - Today (6 years and 5 months)74200 Thonon-les-Bains, FranceMonoceros facilitates live logistics monitoring of assets from manufacturing to user.We have developed smart IoT solutions to monitor the live location and condition of assets through the supply chain. This guarantees the integrity and quality of assets to the ultimate end user.By embedding intelligence both on the cloud and at the edge, our solution works without any human inputs and can last for years on the field.KPIs:- developed a cutting-edge technology, hardware + firmware + cloud + algorithms, in just 12 months,- managed to fit the algorithms on STM32 in 10ko of memory,- +250 deployed IoT devices,- +21 countries,- +17 clients in 4 different countries in Europe,Key responsibilities:- Managed a team of 4 employees and 2 external providers,- Product manager: define product roadmap, design architecture of all, cloud, API, software and Machine Learning,- Manage CI/CD,- Design and implementation of the cloud backend and all the Machine Learning algorithms,- R&D: continuous research on embedded ML, cloud architecture, firmware and hardware,- Deployment on AWS,- Client management,- Business development and contract negotiation.
- M2JNAI AdvisorMEDICALJune 2019 - August 2020 (1 year and 2 months)Londres, United KingdomM2JN provides solutions to real-life medical limitation by focusing on patients’ needs while considering the socio-economic challenges.Key responsibilities:- Define roadmap of Machine Learning deployment,- R&D on embedded Machine Learning to predict a patient outcome,
- Imperial College LondonPHDRESEARCHJune 2016 - January 2020 (3 years and 7 months)London, UKResearch on Bayesian volatility modelling, large-scale sequential Bayesian learning using GPUs, CCD optimisation, DLM, Structure learning, multivariate time-series analysis, Causal Graph Process.See below for publications.PhD done in part-time with Boussard & Gavaudan Partners Ltd for 2 years, and 1 year of full-time at Imperial college.Key responsibilities:- R&D and publications on Machine Learning for time series analysis,- Talks at conferences,- Industry data and applications.
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Education
- Master of ScienceImperial College London2015Master of Science (MSc), Statistics, Statistics
- Master's degree, Applied Mathematics, Financial Engineering / Applied MathematicsTélécom Paris2014Master's degree, Applied Mathematics, Financial Engineering / Applied Mathematics