Nicolas Gambardella
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nicg69.bsky.social
Nicolas Gambardella
@nicg69.bsky.social
Computational biologist, #bioinformatics, #AI
Come work with us on #AI strategies for predicting the structure of small metabolites implicated in metabolic and #cardiovascular diseases from mass spectrometry.

Research engineer position supervised by Francesc Puig-Castellvi in the group of @MarcEDumas
and myself.
www.sfbi.fr/emplois/offr...
Research Engineer in Artificial Intelligence for Metabolomics | SFBI Société Française de Bioinformatique
Emploi en bioinformatique à None CDD IR
www.sfbi.fr
May 6, 2025 at 1:17 PM
This month marks the 60th anniversary of the Monod-Wyman-Changeux (MWC) model, which provides an explanation for one of the fundamental mechanism in molecular biology, cooperativity.
www.linkedin.com/pulse/happy-...
#allostery
Happy birthday MWC
This month marks the 60th anniversary of the Monod-Wyman-Changeux (MWC) model, which provides an explanation for one of the fundamental mechanism in molecular biology, cooperativity. All biomolecular ...
www.linkedin.com
May 5, 2025 at 7:46 AM
#Interdisciplinary PhD at Egid: develop #AI models to evaluate #cardiac (from ECG), #epigenetic (from DNAm), and #metabolomic (from UHPLC-HRMS) ages. Colab between Marc Dumas and @nicg69.bsky.social in Philippe Froguel’s research unit. Contact us for more info. tinyurl.com/AIECGmet
PhD thesis in Chemoinformatics, AI, and integrative metabolism | SFBI Société Française de Bioinformatique
Emploi en bioinformatique à None CDD Thèse
tinyurl.com
March 20, 2025 at 5:58 PM
One of the most illustrating picture of #lockdown efficiency in limiting #covid impact on the healthcare system (in France). Now, try to imagine the first 3 curves with no lockdown by looking at the 4th.
March 17, 2025 at 12:01 PM
Interesting: one can train deep nets without #normalization layers by replacing them with a parameterized tanh()
arxiv.org/abs/2503.10622
tanh() are my favourite #activation function
#deeplearning #artificialintelligence
Transformers without Normalization
Normalization layers are ubiquitous in modern neural networks and have long been considered essential. This work demonstrates that Transformers without normalization can achieve the same or better per...
arxiv.org
March 17, 2025 at 11:19 AM
Reposted by Nicolas Gambardella
enhanced flux potential analysis (eFPA) predicts metabolic reaction fluxes from enzyme expression data ➡️ www.embopress.org/doi/full/10....
March 14, 2025 at 6:52 PM
Reminder: PhD thesis, European genomics institute for diabetes: Graph Neural Networks linking #pathways and #ontologies, trained with #omics data, to understand and predict #cardiometabolic disorders. More tinyurl.com/GNNEgid #deeplearning #diabetes #obesity
Contact me for an initial application.
Ecole doctorale Biologie Santé
Ecole doctorale
tinyurl.com
March 13, 2025 at 1:50 PM
PhD from Sept 2025: Graph Neural Networks linking #pathways and #ontologies, trained using #genomic and functional genomic data to understand #cardiometabolic disorders . More at tinyurl.com/GNNEgid
#deeplearning #diabetes #obesity
Ecole doctorale Biologie Santé
Ecole doctorale
tinyurl.com
March 4, 2025 at 4:16 PM