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Staff Researcher at Criteo
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University of California, Berkeley
Master of Arts (M.A.), Statistics
January 1, 2014 – January 1, 2015
École Polytechnique
Diplôme d'ingénieur & Masters degree (M.S.), Applied Mathematics
January 1, 2011 – January 1, 2015
Lycée Blaise Pascal, Clermont-Ferrand
Preparatory School (Classes préparatoires), MP* -- Maths, Physics and Computer science
January 1, 2008 – January 1, 2011
National School of Computer Science and Applied Mathematics of Grenoble
Adjunct Lecturer
September 1, 2025 – Present
Grenoble, Auvergne-Rhône-Alpes, France · On-site
Criteo
Staff Researcher
April 1, 2023 – Present
Criteo
Senior Researcher
April 1, 2020 – March 1, 2023
Criteo
Researcher
February 1, 2019 – March 1, 2020
Lycee Champollion
Oral examiner
September 1, 2016 – June 1, 2017
Greater Grenoble Metropolitan Area
Schneider Electric
PhD Student, Machine Learning
October 1, 2015 – December 1, 2018
Greater Grenoble Metropolitan Area
Inria
PhD Student, Machine Learning
October 1, 2015 – December 1, 2018
Greater Grenoble Metropolitan Area
UC Berkeley
Graduate Student Researcher
August 1, 2014 – July 1, 2015
Berkeley, CA
Shift Technology
Data Scientist
March 1, 2014 – August 1, 2014
Paris, France
SPEED DISTRIBUTION LOGISTIQUE
Data Analyst
July 1, 2013 – August 1, 2013
Ivry-sur-Seine, France
Gendarmerie Nationale
Officier cadet
August 1, 2011 – April 1, 2012
Chambéry, France
Evaluation of Credit Default Swap counterparty exposure in a Markov copula model
September 1, 2013 – December 1, 2013
During this project, we studied an article that proposed a Markovian model to estimate the CVA (Credit Valuation Adjustment) in case of a counterparty failure for a CDS (Credit Default Swap) contract. We then ran numerical simulations to estimate the CVA for several counterparties, and for different CDS maturities. This project is particularly interesting as it brings a theoretical approach to the Lehman Brothers failure in the 2008 crisis.
Random numeric simulations - Insurrance ruin
April 1, 2013 – July 1, 2013
This project consisted in numerically estimating rare events' probabilities using several theoretical methods. We then used this results in the frame of an insurrance company's ruin model to estimate the effect of different parameters (like the company's funds, or the price of its contracts) on the risk of ruin.
Scientific Team Project (PSC) - Optimizing the school's restaurant waiting lines
September 1, 2012 – June 1, 2013
The team's main objective was to build a stochastic model explaining the formation and the evolution of the waiting lines in the Ecole polytechnique's restaurant, and to find a solution to shorten the expectancy of the time spent by the clients to get their meal. After realizing the usual Jackson Network’s theory could not be applied in our study, we created an alternative model which took into account the fact that people never stayed less than a certain amount of time in a queue. This new point of view enabled us to find a theoretical optimization of the queuing system of the restaurant. Our project was nominated for the price of the “best scientific project of the year” at the Ecole polytechnique.
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research and advanced mathematical modeling. While this provides a strong analytical foundation, the project diversity is primarily theoretical/academic. The target role of 'Data Analyst' typically requires a blend of analytical rigor, practical data manipulation skills (SQL, Python/R for data wrangling, visualization), and business acumen. The candidate's resume shows limited explicit mention of common data analyst tools and technologies, which might indicate a gap in practical application experience for a typical data analyst role. The long tenure in research roles at Criteo suggests a fit for organizations that value deep technical contributions and innovation.
Soft Skills & Operational Fit
The candidate's experience as an Adjunct Lecturer and Oral Examiner suggests strong communication and pedagogical skills. Their involvement in scientific team projects indicates collaboration and problem-solving abilities. The progression from Researcher to Staff Researcher at Criteo implies a strong work ethic and ability to take on increasing responsibility. The academic and research focus suggests a preference for deep analytical work and potentially less emphasis on rapid, iterative product development cycles typical in some data analyst roles.