Emilie Delattre

Simulation Neuroscience
Machine Learning
Emilie Delattre is a Machine Learning Engineer in the Simulation Neuroscience Division.

As part of the Machine Learning team at Blue Brain, she is working on aligning and interpolation brain slices using multiple image processing techniques. In addition, she deploys text mining toolbox for scientific literature, using Natural Language Processing tools like spaCy and Transformers.

Emilie studied Electrical Engineering at University of Mons, specialized in Bioengineering and Signal Processing and did her Master’s Thesis in Japan at the University of Doshisha.

In her spare time, she enjoys hiking, snowboarding, swimming, volleyball and traveling.


Logette Emmanuelle et al., A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19, Frontiers in Public Health https://www.frontiersin.org/articles/10.3389/fpubh.2021.695139/full#h15

Krepl Jan, Casalegno Francesco et al., Supervised Learning With Perceptual Similarity for Multimodal Gene Expression Registration of a Mouse Brain Atlas: https://www.frontiersin.org/articles/10.3389/fninf.2021.691918/full