Publications

. Biosecurity risk factors for highly pathogenic avian influenza (H5N8) virus infection in duck farms, France. In TEB., 2020.

PDF Code Project

. Bayesian Network Modeling Applied to Feline Calicivirus Infection Among Cats in Switzerland. In Front. Vet. Sci.., 2020.

PDF Code Project

. Additive Bayesian Network Modelling with the R Package abn. In arXiv., 2019.

Preprint PDF Code Project

. Does toe clipping for genotyping interfere with later-in-life nociception in mice?. In Pain reports., 2019.

PDF

. Progression and risk factors of pododermatitis in part-time group housed rabbit does in Switzerland. In PVM., 2019.

PDF Code Project

. Pododermatitis in group housed rabbit does in Switzerland – prevalence, severity and risk factors. In PVM., 2018.

PDF Code Project

. Characterization of the Vitrocell® 24/48 aerosol exposure system for its use in exposures to liquid aerosols. In Toxicol in Vitro., 2017.

PDF

. A new fluorescence-based method for characterizing in vitro aerosol exposure systems. In Toxicol in Vitro., 2017.

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It is unanimously agreed that statistics depends somehow on probability. But, as to what probability is and how it is connected with statistics, there has seldom been such complete disagreement and breakdown of communication since the Tower of Babel. Savage, The Foundations of Statistics (1972) Recentely, I had to give a presentation about P value and I discovered during the preparation of this talk a battle to the death within statistics.

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As a biostatistician I am particularly concerned by reproducibility in research (RR). I try very hard to do reproducible research. It is often hard. Often this is not clear how to achieve RR. Within our group, we had recently some discussions about RR. Below is a small personal manifesto for RR. Manifesto for reproducible research I believe that good science is made of trustable science. I believe that the most trustable academic research can only be achieved with a rigorous application of scientific methods.

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As a biostatistician I am particularly concerned by reproducibility in research (RR). I try very hard to do reproducible research. It is often hard. Often this is not clear how to achieve RR. Within our group, we had recently some discussions about RR. Below is a small personal manifesto for RR. Manifesto for reproducible research I believe that good science is made of trustable science. I believe that the most trustable academic research can only be achieved with a rigorous application of scientific methods.

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I did my Master Thesis, about Infectious Disease Inference, at Stockholm University in the departement of Mathematical Statistics. Infectious disease inference is a very interesting and challenging research subject. Moreover this domain of statistcs is at the edge between statistics and simulations (which made my background in physics very relevant and suddenly make my stats and physics master start resonating). I think that this was my very first contact with computational statistics and it gave me the desir to learn more!

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The Google Ngram Viewer, started in December 2010, is an online search engine that returns the yearly relative frequency of a set of words, found in a selected printed sources, called corpus of books, between 1500 and 2016 (many language available). More specifically, it returns the relative frequency of the yearly ngram (continuous set of n words. For example, I is a 1-gram and I am is a 2-grams). This means that if you search for one word (called unigram), you get the percentage of this word to all the other word found in the corpus of books for a certain year.

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Projects

Academic collaborations

mcmcabn

Structural MCMC Sampler for DAGs.

abn

Modelling Multivariate Data with Additive Bayesian Networks.

varrank

Variable ranking for large epidemiological datasets.

Software

R packages for statistical computing/data engineering

– maintainer and author of mcmcabn R package that performs structural MCMC over DAGs with applications in systemic datasets

– maintainer and author of varrank R package that performs variable selection with applications in systemic datasets

– maintainer and author of abn R package that models multivariate data with Additive Bayesian Networks

– contributor of ATR R package for plotting party trees in left-right orientation instead of the classical top-down layout

Recent & Upcoming Talks/Posters

Futur events:

  • 26 September, workshop about Open Science, your Career as a Researcher, and Beyond during OSIP2019 at the EPFL (Lausanne, Switzerland)

  • 10 October 2019, workshop about Chosen biostatistical topics for research and animal experimentation at the Animal and Ethic Day (Bern, Switzerland)

Past events: