Veronika Cheplygina is a Full Professor and machine learning researcher with 11 years of experience specializing in meta-research and methods for learning from limited labels, particularly in medical imaging. Her academic career spans roles from PhD researcher to assistant and associate professor across leading European institutions, now based at IT University Copenhagen. She combines rigorous algorithmic work on weakly-supervised and small-data problems with a strong commitment to open, inclusive research communities and science communication. Known for bridging theoretical insights and practical medical applications, she also maintains an active public presence (including Mastodon) that promotes transparency and collaboration. An early practitioner of applying outlier detection and small-data methods in industry settings, she brings both hands-on engineering roots and deep scholarly expertise.
11 years of coding experience
15 years of employment as a software developer
International Baccalaureate, International Baccalaureate at International School of the Hague
MSc, Media & Knowledge Engineering, MSc, Media & Knowledge Engineering at Delft University of Technology
Contributions:49 pushes, 1 branch in 2 years 3 months
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Veronika Cheplygina - Full Professor at IT-Universitetet i København