Linlin Zhao is a Computer Vision Data Scientist based in Düsseldorf with 11 years of experience applying machine learning and deep learning to biomedical and industrial problems. Currently at Bayer, she bridges explainable AI and computer vision to deliver production-ready models while maintaining research rigor from her PhD and postdoc in computational biology and proteomics. Her background spans building predictive models from tiny, noisy mass-spectrometry datasets to automating behavioral annotations in long video clips, demonstrating skill at feature engineering, experimental validation and pragmatic model selection. Linlin’s work has led to deployed tools (e.g., OutCyte web app) and peer-reviewed outputs, and she brings cross-disciplinary fluency in control theory, genomics and applied ML. The succinct GitHub motto “上善若水” hints at a thoughtful, adaptive approach to problem solving that balances rigor with humility.
11 years of coding experience
3 years of employment as a software developer
Control theory, Control theory at Technical University Munich
Postdoctoral reseacher, Machine learning for proteomics, Postdoctoral reseacher, Machine learning for proteomics at Universitätsklinikum Düsseldorf
Bachelor's degree, Automation and control theory, Bachelor's degree, Automation and control theory at China Agricultural University
Doctor of Philosophy - PhD, Computational Biology, Magna Cum Claude, Doctor of Philosophy - PhD, Computational Biology, Magna Cum Claude at University of Düsseldorf
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