New early career researchers in the team!

🤩😇 This year I am going to learn a lot working closely with amazing young researchers - I'm on ☁️9⃣ 🥳 Short intro below 🧵 Give them a follow to stay up-to-date w/ their research (1/7)#ResearchIsLife @cefemontpellier @CNRS_OccitaniE @INEE_CNRS @umontpellier @twitthair1 pic.

Thèse et santé mentale

Faire une thèse est en général une expérience enrichissante pendant laquelle on apprend des tas de choses en recherche et sur soi-même. On interagit avec des gens géniaux. Mais c'est aussi trop souvent une expérience traumatisante.

Binary image classification using Keras in R: Using CT scans to predict patients with Covid

Here I illustrate how to train a CNN with Keras in R to predict from patients’ CT scans those who will develop severe illness from Covid.

Looking back to 2021

Looking back to 2021, I don't feel like emphasizing papers or projects. I guess this crazy period has reminded us of the importance of human relationships. Science is made by people, but people are not just scientists.

My two cents on Open Science

Under the kind influence of @FredBarraquand & @TiagoALOMarques, I have been thinking lately about #OpenAccess and #OpenScience. Access to science should be free. Period. My two cents. ⬇️🧵 1/11 #AcademicTwitter #AcademicChatter pic.

Why a career in statistical ecology?

I have been interviewed recently by Lise Viollat who’s preparing a documentary for our national research group in statistical ecology. I have written my two cents answers to her challenging and very relevant questions. Thank you Lise for the interview !

Pourquoi une carrière en écologie statistique?

Dans le cadre d’un documentaire que réalise Lise Viollat, celle-ci m’a posé des questions sur mon parcours en recherche, et en écologie statistique. Je reproduis mes réponses ici. Merci Lise pour l’entretien !

Draft chapter on Bayes stats and MCMC in R

I have a draft chapter on Bayes stats and MCMC at https://oliviergimenez.github.io/banana-book/crashcourse.html I’d love your feedback about what is confusing and what is missing 😇 #rstats

Bayesian analysis of capture-recapture data with hidden Markov models - Theory and case studies in R

So, I’m writing a book 🤯 It’'’s called “Bayesian analysis of capture-recapture data with hidden Markov models - Theory and case studies in R”.

Experimenting with machine learning in R with tidymodels and the Kaggle titanic dataset

I would like to familiarize myself with machine learning (ML) techniques in R. So I have been reading and learning by doing. I thought I’d share my experience for others who’d like to give it a try1.