Hannah Bohle is a data scientist and computational neuroscience PhD with 8 years of experience translating complex research into production-ready analytics and ML solutions, currently building data products at DB Systel in Berlin. She combines deep expertise in statistical analysis, EEG/fMRI brain-imaging methods and experimental design with practical software skills (Python, JS, AWS) developed while building an open-data biodiversity modeling platform. A former journalist, she communicates technical results clearly to stakeholders and has led teams of up to 15 researchers to secure grant renewals and publish peer-reviewed work. Her background in psycholinguistics and hands-on lab collaborations (including a visiting stint at Rutgers) gives her a rare blend of rigorous hypothesis-driven science and product-focused engineering.
8 years of coding experience
14 years of employment as a software developer
Graduate, Graduate at Berlin School of Mind and Brain
PhD, computational neuroscience, psycholinguistics, PhD, computational neuroscience, psycholinguistics at Humboldt-Universität zu Berlin
High School Diploma, Psychology, High School Diploma, Psychology at Technische Universität Berlin
Contributions:22 commits, 20 pushes, 1 branch in 22 days
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