With a background in genetics and data science, Eugénie Dionnet has a range of experience in molecular biology, bioinformatics, and therapeutic approaches. From their doctoral research on myopathies to their work at bioMérieux, Eugénie has showcased their technical skills in programming, machine learning, and statistical analysis. Eugénie has also demonstrated strong project management capabilities, communication skills through publications and presentations, as well as a commitment to scientific advancement and education.
February, 2023 - present
September, 2020