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About me

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Current position

I am currently a senior machine learning expert and data science manager at Schneider Electric's Artificial Intelligence Hub in Grenoble, France. My work is stretched between research activities and development of AI solutions in production.

We develop AI products to monitor and control complex electrical and industrial systems - in tertiary buildings, datacenters, industries and infrastructures. The intent is to make their operation easier, safer, more reliable and more energy efficient.

I am particularly involved with machine learning and pattern mining on industrial timeseries ; with fault detection and predictive maintenance ; with semantic description through ontologies ; and with forecasting for optimal control.

In parallel to my research, development and management activities I animate an internal group of python users, contribute to open source libraries, and participate in educational projects with UGA university and ENSIMAG engineering school.

Previously at Schneider Electric

I joined Schneider Electric in 2005 as an embedded software engineer, to imagine how industrial gateways could leverage Service-Oriented Architectures, Plug'n play protocols, M2M and Web 2.0. I led technical developments and research within the frame of EU-funded research projects, and transferred some results into industrial IoT offers.

In 2010, I joined an energy efficiency program for tertiary buildings, leading Monitoring & Analytics topics. I developed a platform used for BI and Visual Analytics prototypes. I opened research collaborations with major universities and labs and assessed key technology partners.

Since 2013 I have been involved in the development of our Analytics-as-a-Service cloud platform and the development of multiple AI components, with production targets such as the various Schneider Electric EcoStruxure Advisors and the Exchange platform.

Before Schneider Electric

Before joining Schneider Electric, I received my General Engineering degree from CentraleSupelec (Paris) and a MSc in Machine Learning from UCL (London) in 2005 - with a thesis on Automated Medical Diagnosis using Semi-Supervised Learning, an internship on Robotic Tele-echography force-feedback, and a junior enterprise customer project on truck loading optimization.