Yasmin Mzayek
About Yasmin Mzayek
Yasmin Mzayek is a Research and Development Engineer at Inria in Saclay, France, where she has worked since 2022. She has a strong background in neuroscience and data science, having held various research and development roles across multiple institutions in Europe and the United States.
Work at Inria
Yasmin Mzayek has been employed as a Research and Development Engineer at Inria since 2022. Located in Saclay, Île-de-France, France, she focuses on software development projects that integrate her expertise in neuroscience and data science. Her role involves implementing new features, resolving bugs, and maintaining code quality within complex projects that have multiple dependencies.
Education and Expertise
Yasmin Mzayek holds a Master of Science (M.Sc.) in Brain and Cognitive Sciences from the University of Amsterdam, which she completed from 2015 to 2017. She also earned a Bachelor of Science (B.Sc.) in Neuroscience from Rhodes College between 2009 and 2012. Her educational background equips her with a strong foundation in both neuroscience research and data science, which informs her approach to software development.
Background in Research and Development
Prior to her current position at Inria, Yasmin Mzayek accumulated diverse experience in research and development roles. She worked as a Data Science Trainee at the University of Groningen from 2020 to 2022, and as a Research Assistant at Aix-Marseille University from 2018 to 2020. Additionally, she served as a Research and Community Coordinator at the University of Amsterdam for 11 months in 2017-2018.
Clinical Research Experience
Yasmin Mzayek has a background in clinical research, having worked as a Clinical Research Assistant at St. Jude Children's Research Hospital from 2013 to 2015. During her academic career, she also completed her Master's thesis at The Netherlands Cancer Institute from 2016 to 2017, further enhancing her research skills and knowledge in the field.
Open Source Contributions
Yasmin Mzayek is involved in the development and maintenance of an open-source Python package designed for applying machine learning and statistics to brain imaging data. This initiative reflects her commitment to advancing the field through collaborative efforts and the exchange of ideas, which she values in team-oriented environments.