Summary
Émeline Favreau is a computational biologist with 11 years of experience translating complex genomic and transcriptomic data into biological insight, currently working in the Cambridge-GSK Translational Immunology Collaboration. She has a strong background in bioinformatics applied to rare disease and immunology, and extensive hands-on experience with genome assembly, annotation, population genomics and reproducible HPC pipelines (Nextflow, Singularity/Docker). Her career bridges ecological and entomological fieldwork with rigorous computational practice, having led large comparative transcriptome projects, machine-learning analyses to predict caste from RNA-seq, and data management strategies for long-term research reproducibility. Comfortable programming in R and Python and fluent with cluster workflows, she brings both wet-lab perspective and software-first reproducibility to translational projects. An understated strength is her history of operationalizing data sharing and training lab members, ensuring analyses are accessible beyond the bioinformatics team.
11 years of coding experience
5 years of employment as a software developer
Master of Research Biosystematics, Master of Research Biosystematics at Imperial College London
Language course Norwegian for Beginners, Language course Norwegian for Beginners at Morley College
French Baccalaureat Economics, French Baccalaureat Economics at Lycee Nicolas Appert (Orvault, France)
Bachelor of Science (BSc) Environmental Sciences with Honours, Bachelor of Science (BSc) Environmental Sciences with Honours at Oxford Brookes University
Pre Graduate Diploma English and Spanish Civilisation and Literature, Pre Graduate Diploma English and Spanish Civilisation and Literature at Nantes Université
French, Spanish, Norwegian, Latin