Next Friday November 18th, we’ll celebrate the 1st student meeting of the Graduate School Translational Bioinformatics of the Université Paris Cité. Check out registration details and the program of oral and poster presentations here: u-paris.fr/%C3%A9v%C3%A8n…

Découvrez l'épisode 17 de notre série Into the Lab. 🎬 Partez à la rencontre de l'équipe d’Antonio Rausell directeur du laboratoire de bio-informatique clinique, à l'Institut Imagine. 🧬 Bon visionnage ! ⭐ youtu.be/ybSILmP7lPs

Excited to see our last transversal work from clinic, hematology to biostatistic being published in Cell Reports Medicine! Grateful for this huge team and collaborative work! With Sobrino Steicy Alessandra Magnani, Antonio Rausell Anne Galy, Stephane Blanche, Marina Cavazzana.

On my way to Dublin to attend the 9th #ELIXIR All Hands meeting 2023. Looking forward to meet the Elixir crew there and participate in person to the working group sessions: elixir-europe.org/events/elixir-… ELIXIR Europe

Thanks to hCNV community for the invitation to present our work on ML covering reliability estimates, federated learning and GNNs for CNV clinical assessment. Looking forward to contributing to next steps of ELIXIR on DOME ML standards & federated learning across european nodes

Today July 2nd at 14th European Cytogenomics Conference, Montpellier, I'll be presenting a keynote on Artificial Intelligence in Cytogenetics. Thanks to ECA & the organising committee for the kind invitation. Programme: eca2023.org/en/ European Cytogeneticists Association #eca #cytogenomics

Tuesday July 4th 11:00 AM CEST, join us for the next webinar edition of the Variant Interpretation Community of Special Interest (VarI COSI) of @ISCBwith talks by Afeefa Zainab & Vicente Yepez. Details here: iscb.junolive.co/Nucleus/live/m…

Are you a MSc student, PhD candidate or postdoc interested in the interplay between computer & medical sience? Join our 5-days workshop in Machine-learning applied to biomedical data next 4-8th September 2023. Further details and registratio: u-paris.fr/en/%C3%A9v%C3%…

Very proud of Nigreisy Montalvo, PhD candidate in my lab, presenting today at #ISMBECCB2023 our work on federated machine learning for genetics variant assessment enabling training models across independent institutions without data transfer. Preprint coming soon, stay tuned!