Barbara Feulner
Data Scientist
London, England, Germany
Summary
👤
Senior🎓
Top SchoolBarbara Feulner is a data scientist and trained physicist with a decade of experience applying machine learning to neuroscience and medical imaging. Currently a PhD researcher-turned-industry scientist in London, she builds and evaluates neural network models to probe biological constraints on motor learning and develops self-supervised and multiple-instance learning solutions for digital pathology. Her background spans computational and theoretical neuroscience, human psychophysics, two-photon imaging analysis, and EMG-based HCI research at Meta, reflecting a rare blend of experimental collaboration and algorithmic rigor. She has published peer-reviewed work, taught programming and computational neuroscience, and repeatedly translated complex lab data into reproducible analysis pipelines. Notably, she bridges low-level biophysical modeling and modern deep learning approaches, making her comfortable moving between principled theory and production-ready ML.
10 years of coding experience
3 years of employment as a software developer
Université Grenoble AlpesDoctor of Philosophy - PhD, Computational Neuroscience, Doctor of Philosophy - PhD, Computational Neuroscience at Imperial College LondonBachelor of Science, Physics, 1.2, Bachelor of Science, Physics, 1.2 at University of Erlangen-NurembergMaster of Science - MS, Physics, 1.1, Master of Science - MS, Physics, 1.1 at The University of Göttingen
German, English, French
Github Skills (4)
computational-neuroscience3
machine-learning2
python2
neuroscience2
Programming languages (1)
Github contributions (5)
babaf/neural-manifold-and-plasticity
Dec 2020 - Sep 2021
Contributions:6 commits, 5 pushes, 1 branch in 9 months
babaf/eni_oop
Jan 2017 - Mar 2017
Contributions:12 pushes, 1 branch in 2 months
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