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Machine Learning Researcher at Proton
Since 2017, I've worked on research topics applying Machine Learning to Cybersecurity. The common theme is the automated analysis of network data, in order to reveal and block malicious parties from accessing networks or attacking legitimate users. I have applied this knowledge across a number of domains: corporate network security, phishing email detection, design of CAPTCHA systems, etc. In 2017, I obtained a PhD in Machine Learning from the University of South Brittany, at the IRISA lab, in partnership with Thales. During this thesis, I designed a novel gesture recognition system for human-robot communication in harsh environments. I graduated in 2013 as an Engineer from Ecole Centrale de Lille, a French Grande Ecole. While the school is multidisciplinary, I specialized heavily in computer science and applied math. I love programming and even more so when it intersects with mathematics. I like learning about new technologies and sharpen my skillset.
University of South Brittany
PhD, Machine Learning
January 1, 2013 – January 1, 2017
Centrale Lille
MSc (Engineer), Mathematics and Computer Science
January 1, 2010 – January 1, 2013
Lycée Fénelon, France
Classe Préparatoire aux Grandes Ecoles, Mathematics, Physics, Computer Science
January 1, 2008 – January 1, 2010
Proton | Privacy by Default
Machine Learning Researcher
March 1, 2023 – Present
Paris, Île-de-France, France
Cisco
Machine Learning Researcher
July 1, 2021 – February 1, 2023
Cisco
Machine Learning Researcher
May 1, 2019 – June 1, 2021
Cisco
Machine Learning Engineer
March 1, 2017 – May 1, 2019
Thales Optronics
Research Engineer (as PhD student)
December 1, 2013 – December 1, 2016
Paris Area, France
Thales Communications & Security
Software Engineer Intern
April 1, 2013 – September 1, 2013
Paris, France
CGGVeritas
Software Engineer Intern
May 1, 2012 – August 1, 2012
Crawley, UK
Thales Avionics
Software Engineer Intern
January 1, 2011 – February 1, 2011
Bordeaux Area, France
Cultural Fit Analysis
The candidate has a strong background in research and development within established tech companies (Cisco, Proton, Thales). Their experience is heavily skewed towards Machine Learning Research and Engineering, which aligns well with roles requiring deep technical expertise and innovation. However, the target role is 'Data Analyst', which might represent a slight pivot from their core ML research focus. While ML skills are valuable for advanced data analysis, the candidate's resume does not explicitly highlight traditional data analyst responsibilities like dashboarding, reporting, or specific business intelligence tools beyond a brief internship mention. This could indicate a potential mismatch if the 'Data Analyst' role is more focused on business reporting and less on advanced analytical model development.
Soft Skills & Operational Fit
The candidate's experience descriptions indicate a strong problem-solving orientation and a focus on developing practical, impactful solutions. Their work on anti-abuse and security systems suggests a detail-oriented and resilient approach. However, without direct assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be definitively evaluated.