Hello, I am an independent data scientist crafting bespoke computational tools, applications, analyses, and visualizations. With honesty as a core value of my work, I employ machine learning, mathematical and statistical modelling, scientific simulation, and generative and interactive design in projects carefully tailored to address complex and nuanced problems.

Sounds interesting? Let’s connect

To me, honesty in data science is treating insights and uncertainty equally, valuing domain expertise while contributing to its progress, celebrating diversity of viewpoints while striving for clarity. What satisfies us need not only be numbers that match; it can be finding meaning, enabling action, or simply enjoying an elegant perspective.

projects

Selected open-source data-science projects are listed here. Partners include the World Health Organization and the Robert Koch Institute. More can be found on GitHub.

A list of scientific publications can be found on Orcid or Google Scholar.

See also the projects of the WHO Hub for Pandemic and Epidemic Intelligence, in particular IPSN and EIOS.

surveillance portfolio assistant

an R package to implement the SPA algorithm and demonstrate it in a Shiny application

outbreak detection evaluation

a new general approach to evaluating outbreak-detection algorithms implemented in the Python package epi-quark (main developer Auss Abbood)

eios anomaly

Python notebooks for natural language processing and machine learning to identify epidemiologically relevant texts and support epidemic intelligence

sormasdatagen

an R package for generating synthetic data for the outbreak-management software SORMAS

world health organization outbreak toolkit virtual assistant

a prototypical interactive R Shiny web application with analyses and visualizations for the investigation of outbreaks of unknown origins

asmodee trendbreaker evaluation

an R script for evaluating a new outbreak-detection algorithm on simulated and observed Covid-19 time series

signale logo

Processing scripts to generate patterns used for the graphic identity of a data-science team

about

Feel free to contact me in English, French or German.

I am a data scientist based in Lyon, France. A physics graduate, with PhD, of the École normale supérieure, I have worked as a mathematical modeller, coder and developer in fundamental and applied research. My main domains of expertise are physics, infectious-disease surveillance and epidemiology. Experimental biology and visual arts have also been part of my professional life.

This led me to live and work in five cities in four countries, and speak three languages fluently. I love that data science is a transversal discipline, that allows one to work on diverse topics and collaborate with people from all walks of life.

I use the pronouns he/him.

full cv (pdf)
biography

This website was designed with the help of Alice Aubin and built with Hugo, Bootstrap and Chivo.