Gabrielle Reimann
Machine Learning Team Doctoral Research Intern @NIH Innovates
Signup · Get unlimited contacts
WORK HISTORY
Machine Learning Team Doctoral Research Intern @NIH Innovates
Bethesda, MD, US
Visiting scholar, funded by the Ethel M. Wilson Scholarship ($8,500) and Vanderbilt Award for Doctoral Discovery ($2,543)- Implement non-negative matrix factorization method with regularization on clinical questionnaires to create quantitative meta factors of psychopathology- Develop and validate predictive models for neurobiological representations of psychopathology and their clinical trajectories- Automated Python script to optimize/standardize processing 41 Healthy Brain Network behavior questionnaires, improving speed by 99.39%- Cultivate proficiency in machine learning/ data science libraries (e.g, scikit-learn, pandas), collaborative reusable managed Git, and well documented code
EDUCATION
Vanderbilt University
Doctor of Philosophy - PhD
James Madison University
Bachelor of Science (B.S.)
ABOUT GABRIELLE REIMANN
I aim to identify data-driven markers of mental health diagnoses, with the broader goal…
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.