Gabrielle Reimann

Machine Learning Team Doctoral Research Intern @NIH Innovates

Nashville, TN, US
MOBILE NUMBERS
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WORK HISTORY

Jun 2024 — Present

Machine Learning Team Doctoral Research Intern @NIH Innovates

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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

2020

Vanderbilt University

Doctor of Philosophy - PhD

2013 — 2017

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…

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Gabrielle Reimann — Machine Learning Team Doctoral Research Intern at NIH Innovates in Nashville, TN, US | Unifers