I’m a data scientist and consultant although originally I studied pharmacy and biology, finishing my Pharm.D./Ph.D. with groups in France, Germany, and the United States. Besides, being of an inquisitive nature, I usually get interested in miscellaneous subjects. I cultivate coding skills as well as a marked preference for Unix and R.
During my Ph.D. I rapidly got submerged in data, so that I eventually had to code on a daily basis. Looking back, this turned out to be the most successful and enjoyable part of my work. I became fully fluent in R and Unix, and
and both helped me solve many problems I had to deal with. My strong clinical hands-on experience and a practical understanding of bioprogramming for single-cell flow data and single-cell RNA-seq helps me today to design and build tools researchers need to make discoveries and improve human and animal health. I excel at quantitative thinking and communicating results: I can turn a complex analysis into a compelling story. I’m currently traveling and training people of all experience levels, all across Europe.
Sadly, open source is oftentimes relegated to being an afterthought or something for grad student to hack on while procrastinating on their Ph.D. theses.
Here I’d like to share some of my work under a Creative Commons Attribution-ShareAlike 4.0 International License.
The views and opinions expressed on this blog are my own.