Aygalic Jara



my deskmy desk


Fresh graduate from a double degree between Ecole Centrale de Nantes and Politecnico di Milano.
I have studied statistics, machine learning and their application to life science to be part of a change that matters to me.

My first peer reviewed paper! →

Identification of Molecular Biomarkers for Sjögren’s Disease Stratification via a Deep Learning Foundation Model Dedicated to Immune-Mediated and Inflammatory Disease.

★ Quantizing LLM to make a super lightweight interface →

Using Llama 3.2 1B with quantization to summarize wikipedia article.

★ Machine Learning applied to Transcriptomic data →

Evolution of latent representation of BRCA data through encoder over the training procedure.

My Thesis →

Genetic algorithm-driven auto-encoders: unraveling complex patterns in Parkinson's and breast cancer data

This portfolio is awaiting some big upgrade, stay tuned for more.