Elizabeth Levitis
Postdoctoral Fellow at Children's Hospital of Philadelphia
London, England, United States
Summary
👤
Senior🎓
Top SchoolElizabeth Levitis is a postdoctoral fellow and computational neuroscientist with nine years of experience applying machine learning, statistics, and neuroimaging to understand heterogeneous vulnerability to neurological and psychiatric disorders. Trained at UCL, NIMH, and McGill, she has published methods and processing code for large-scale neuroimaging datasets (BIDS, FreeSurfer) and characterized imaging phenotypes in chromosomal aneuploidies. Her background spans research, teaching, and software development—contributing backend and database improvements to the multi-site LORIS platform—highlighting a rare blend of rigorous analysis and production-grade data engineering. Based in London and currently at Children’s Hospital of Philadelphia, she combines reproducible data pipelines with domain expertise to translate complex imaging signals into clinically relevant insights.
8 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computational Neuroscience, Master of Science - MS Computational Neuroscience at McGill UniversityHigh School, High School at Stuyvesant High SchoolUniversity College London
Russian, Spanish, English
Github Skills (11)
data-modeling10
databases10
php10
database-administration10
admin10
sql10
back-end-development10
database10
data-integrity9
configuration-management8
neuroscience8
Programming languages (10)
Github contributions (5)
aces/Loris
Jun 2017 - Apr 2019
LORIS is a web-accessible database solution for longitudinal multi-site studies.
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:17 commits, 103 PRs, 3 pushes in 1 year 9 months
Contributions summary:Elizabeth primarily contributed to the back-end functionality and database management of the LORIS project. They focused on improving the codebase by removing dead code, adding permissions checks, and ensuring data integrity through nullifying empty values. Their work also involved optimizing database interactions by adding and modifying SQL queries and modifying data dictionary modules. In addition, they also worked on tools to normalize and maintain the `mri_protocol` table, thus demonstrating a focus on the data management aspects of the repository.
multi-siteneuroimagingscienceaccessibleloris
llevitis/Loris
May 2017 - Apr 2019
LORIS is a web-accessible database solution for longitudinal multi-site studies.
Contributions:302 pushes, 97 branches in 1 year 10 months
accessiblemulti-sitelorisdatabase
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.