PhD Student at BIFOLD - Berlin Institute for the Foundations of Learning and Data
Berlin, Germany
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Summary
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Senior
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Top School
Winfried Ripken is a PhD student in Computer Science at Technische Universität Berlin with a decade of hands-on experience applying deep learning from research to production. Based in Berlin, he has driven ML and video-AI projects at research institutes and startups—including Merantix Momentum and Teraki—bridging algorithmic innovation with engineering for real-world datasets. His background spans academic research (Hasso Plattner Institute, EFREI) and industry roles, where he implemented state-of-the-art clustering combined with convolutional networks for telecom data and has taught design thinking-driven innovation. Known for translating complex models into deployable systems, he focuses on practical impact while pursuing rigorous research at BIFOLD. An interdisciplinary thinker, he blends design-led product insight from Stanford’s ME310 with deep technical expertise to move ideas from prototype to production.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Technische Universität Chemnitz
Master of Science - MS IT Systems Engineering, Master of Science - MS IT Systems Engineering at Hasso Plattner Institute
PhD Computer Science, PhD Computer Science at Technische Universität Berlin
Erasmus+ Semester Business Intelligence, Erasmus+ Semester Business Intelligence at EFREI - Grande école du numérique
ME310 Design Innovation Course, ME310 Design Innovation Course at Stanford University
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