Petra Vidnerová
Scientist at Institute of Computer Science Academy of Sciences of the Czech Republic
Prague, Prague, Czechia
Summary
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Senior🎓
Top SchoolPetra Vidnerová is a scientist with over a decade of experience at the Institute of Computer Science of the Czech Academy of Sciences, specializing in machine learning, kernel methods, regularization networks and practical deep learning. Her work blends theoretical rigor—rooted in a PhD in theoretical computer science—with hands-on development of hybrid AI systems, including being a key developer of the C/C++ multi-agent Bang system. She has a track record in hyperparameter tuning, meta-learning and evolutionary algorithms, and explores hybrid architectures that merge RBF networks with deep nets. As an educator she has taught practical evolutionary algorithms at Charles University and has experience with HPC collaborations in Edinburgh, reflecting both applied and high-performance perspectives. Colleagues would note her persistent focus on marrying principled methods with pragmatic implementations across research and production code.
10 years of coding experience
11 years of employment as a software developer
PhD, Theoretical Computer Science (MFF UK), PhD, Theoretical Computer Science (MFF UK) at Charles University in Praguefocused on Mathematics, Physics, focused on Mathematics, Physics at Gymnásium, Mikulášké nám.
English, German, Czech
Github Skills (25)
markdown10
python10
relay-modern10
keras10
semantic-ui10
yaml10
graphql10
mongodb10
react10
relay10
aiohttp10
javascript9
nextjs9
fundamentals9
css9
Programming languages (5)
Github contributions (5)
PetraVidnerova/NCK_interim
Mar 2019 - Jan 2023
Work in progress
Contributions:38 pushes, 1 branch in 3 years 10 months
in-progressjavascriptwork-in-progress
PetraVidnerova/GAKeras
Apr 2017 - Nov 2018
Contributions:65 commits, 45 pushes, 1 branch in 1 year 7 months
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