Eric L'Homer

From 2022 I manage the data of the Google Marketing Platforms (Google Ads, DV360, SA360 CM360) and the Google Analytics of the 40+ brands of L’Oréal, in 70+ countries, using the powerful capabilities of the Google Cloud platform. This includes deploying GA4 / DV360 / GADS data transfers and managing GA4/DV360/GADS/SA360 API calls and performing studies for L’Oreal teams around the world to analyze available data. Between 2018 and 2022 I worked on multiple project involving Digital Marketing data, including: - full stack developer of Media data apps (UTM builder,..). - AI recommendation Engine. - Meta / DV360 / Google Ads KPI development.

I am the founder of FuturaMath, an Intelligent Tutoring System that models student's knowledge over time and provides them with an optimized and personalized teaching experience. FuturaMath is based on research on educational data mining, machine learning, Artificial Intelligence, Bayesian models. I am also working on natural language processing system to simulate more accurately one-on-one human tutoring.

Created in 2004, Quantam is an investment group, at the crossroads of finance, technology and entrepreneurship. As Head of Research and deputy-CEO (2013-2015), I designed the algorithms of the dynamic hedging strategies than run the CGEM Flex fund (launched in 2011), and the Nomura Quantam SolCap Europ fund (launched in 2015). The Nomura Quantam SolCap Europ fund objective is to offer clients long only exposure to the DJ EuroStoxx 50® Total Return index with reduced tail risk, while reducing equity drawdowns through an innovative dynamic allocation algorithm. I designed and managed the dynamic hedging strategy of the Comgest CGEM Flex fund (AUM € 120M), a flexible emerging markets equity fund with a net exposure to equity after hedging varying between 20 % and 100%, using an optimized basket of futures on emerging market indices as hedging proxy and a proprietary dynamic volatility indicator. I also designed and directed between 2010 to 2014 a research program for developing new algorithmic techniques to identify and exploit new market biases. This research program had a budget of €1.3M. It was sponsored by OSEO/BPI France and included research on support vector machine, pattern recognition, Kalman filters and machine learning. This research led to the creation of funds managed by high frequency quantitative trading strategies.

Safran Engineering Services, a Safran group company, offers high technology engineering services in aeronautical and ground transportation. I was a team leader software and expert IT for Snecma and EADS DS (EADS Defence & Security Systems Division. I was involved in the development of real-time aircraft engine control software and the management of a software engineer team delivering continuous releases of the kernel library of a C3I system for the French Army, for up to 50 developers.

I designed and coded financial data mining algorithms for financial data.

I designed and coded with my team algorithmic libraries for real-time optimization of plants, engine control, and high-frequency audio and vibration signal monitoring for aircraft industries.

After my thesis I was a graduate teaching assistant and a research assistant for the University Paris 13 and Paris 5. My public research was focused on pattern recognition and image processing. I was a teaching assistant on applied mathematics, econometric, probability/statistical theory and image processing. Public research (Thesis) : Creation and development of a handwriting recognition system (C++) using statistical modeling. Publication: L'Homer, Eric, "Extraction of strokes in handwritten characters", Pattern Recognition, volume 33 (2000), number 7, pp. 1147-1160