Valentyna Zinchenko is a computational biologist and machine learning researcher based in Berlin with 8 years of experience applying ML to biomedical data and over 6 years of interdisciplinary research at institutions like EMBL and the Max Planck Institute. She completed a PhD at Heidelberg and an MS at Göttingen, bringing deep domain expertise in computational biology to industry research at Bayer. Her work bridges rigorous academic inquiry and applied ML, from PhD-driven methodological development to postdoctoral translational projects, and now product-focused research in a corporate setting. Known for navigating noisy, high-dimensional biological data, she combines strong experimental collaboration skills with model-driven insight to accelerate biological discovery. An early pattern in her career is rotating through multiple Max Planck labs—evidence of intellectual curiosity and adaptability across techniques and teams.
7 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Heidelberg University
Bachelor of Science - BS, Bachelor of Science - BS at Taras Shevchenko National University of Kyiv
Master of Science - MS, Master of Science - MS at The University of Göttingen
EMBL Deep Learning course 2019 exercises and materials
Contributions:34 commits, 33 pushes, 1 branch in 1 month
deep-learningmachine-learningtensorflowembl
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Valentyna Zinchenko - Machine Learning Researcher at Bayer