Betty Van Aken
Applied Research Scientist at Self-employed
Hanover, Lower Saxony, Germany
Summary
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Senior🎓
Top SchoolBetty Van Aken is an applied research scientist and final-year PhD candidate in Informatics based in Germany, with 10 years’ experience building production-ready NLP systems and applied deep learning models. Currently at Grammarly and consulting independently, she bridges research—publishing on hate speech detection, explainability, and clinical NLP—with hands-on delivery of chatbots, job recommenders, and medical information extraction pipelines. Her software engineering roots (from mobile apps to high-traffic Spring microservices) give her a pragmatic focus on robust, user-centered solutions that scale. She also mentors teams and teaches text mining and data science, combining academic rigor with product-minded execution. An underappreciated strength is her fluency moving models from transfer-learning experiments into maintainable production code, making research directly impactful for end users.
10 years of coding experience
9 years of employment as a software developer
Master’s Degree, Media Informatics (Medieninformatik), with distinction, Master’s Degree, Media Informatics (Medieninformatik), with distinction at Beuth University of Applied Sciences Berlin (formerly Technische Fachhochschule Berlin)Bachelor's Degree, Audiovisual Media (Audiovisuelle Medien), very good, Bachelor's Degree, Audiovisual Media (Audiovisuelle Medien), very good at Fachhochschule Stuttgart - Hochschule der MedienDoctoral Studies, Informatics, Doctoral Studies, Informatics at Leibniz Universität HannoverExchange semester in Puebla, Mexico, Exchange semester in Puebla, Mexico at Fundación Universidad de las Américas Puebla
Spanish, English, German
Github Skills (23)
representations10
nlp8
paper8
linux8
transformers7
windows7
raycast7
bert6
natural-language-processing6
machine-learning6
pytorch6
transformer5
api4
python3
garden1
Programming languages (4)
Github contributions (5)
bvanaken/publisher-api
Mar 2019 - Apr 2020
API for online user comment analysis
Contributions:33 commits, 2 PRs, 25 pushes in 1 year 1 month
apipython
bvanaken/clinical-outcome-prediction
Feb 2021 - Jan 2022
Code for the EACL 2021 Paper: Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration
Contributions:14 commits, 13 pushes, 1 branch in 11 months
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