🤩😇 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.twitter.com/CBiL5fGvV0

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. Il faut le dire. En parler. Et faire qqch 🧵1/14

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, 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. Stay safe, and take care of others and yourself ⬇️🧵 1/11 pic.twitter.com/LUHPPnI1c0

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.twitter.com/n2F5p5qwvQ

— Olivier Gimenez 🖖 (@oaggimenez) December 19, 2021

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 !

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 !

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

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”.

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.