Sophie Laturnus
Data Scientist Biopharma
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolSophie Laturnus is a data scientist with 15 years of experience bridging academic research and industry, currently applying computational methods to biopharma problems. With a PhD in Computational Neuroscience and hands-on roles at Bolt, she has built production ML systems for geospatial and traffic problems—migrating ETL to PySpark, optimizing ETA models, and shipping a pickup-location recommender. Her research background includes representing neural morphologies to link cellular form with function and genetics, and she brings strong statistical validation, visualization, and Bayesian interests to applied work. Passionate about sustainability, she self-studied soil regeneration and water restoration, which informs a practical, systems-level approach to problem solving. Fast-learning and collaborative, she combines domain curiosity with clean-code practices and growing expertise in graph neural networks.
15 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Neuroscience, Doctor of Philosophy - PhD, Computational Neuroscience at University of TübingenBachelor of Science (BSc), Computer Science, Bachelor of Science (BSc), Computer Science at Karlsruhe Institute of Technology (KIT)
English, German, Italian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (84)
glmnet10
stochastic-processes9
linear-models9
relational-algebra9
biomedical9
relational-databases8
electrophysiology8
r8
python8
computational-neuroscience8
relational-model8
neuroscience8
databases7
relational7
controlling7
Programming languages (7)
Github contributions (5)
berenslab/MorphoPy
Dec 2017 - May 2021
Contributions:347 commits, 19 PRs, 181 pushes in 3 years 6 months
berenslab/morphvae
Jun 2021 - Sep 2022
MorphVAE: Generating Neural Morphologies from 3D-Walks
Contributions:14 commits, 3 pushes, 2 comments in 1 year 3 months
autoencoderwalksdeep-learningmorphologiesneural-network
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