I do data science for the French government, at INSEE (the French National Institute for Official Statistics). My first job (located in Paris), involved developing statistical estimates for national surveys on subjects such as crime and housing. I also had the chance to participate in more fundamental research subjects in sampling theory ( calibration, non-response, adaptive sampling and paradata, etc.). I’m also a PhD student of Patrice Bertail. My work with Patrice focuses on how sampling can be adapted to the context of “big data”, and particularly for networks.
In 2017 I joined Ubisoft Montréal where I put some of my research in practice by leading a team of type B data scientists. We create Machine Learning models and put them in production into games 🙂
I intend to write here (in French and English) about my main area of expertise – statistical sampling – but not only ! I frequently ask myself geeky questions about various subjects, some of which involving data or math, and when I think a subject is cool enough to be shared, I will post it here!
I’m definitely not an expert on every subject I choose to write about, but I thik curiosity and methodology can be used to understand very diverse subjects. Do not hesitate to share your thoughts in the comments!
“The best way to have a good idea is to have lots of ideas.” ― Linus Pauling
I’m currently head of the Sampling Unit of INSEE (the French National Institute for Official Statistics). My studies concern innovative methods in the field of statistical sampling, in particular adaptative sampling, and spatial sampling. I like trying to answer silly questions with some data analysis, or by doing some (easy) maths; I’ll post here about any subject I find fancy at that time.
“I meant,” said Ipslore bitterly, “what is there in this world that truly makes living worthwhile?”
Death thought about it.
CATS, he said eventually. CATS ARE NICE.”
― Terry Pratchett, Sourcery