Summary
Barbara Imbroscì is a Senior Data Scientist based in Berlin with six years of industry experience and a strong academic background in neuroscience and medical biotechnology. She applies signal and image processing, statistical analysis, and deep learning—especially convolutional and recurrent neural networks—to build ML solutions with positive social impact. Her toolset centers on Python (NumPy, pandas, SciPy, scikit-learn, PyTorch, TensorFlow) and she has moved from postdoctoral neurodegeneration research into data science roles at Solandeo, bridging rigorous experimental methods with production-focused modeling. Fluent in Italian, English, and German, she excels at translating complex scientific problems into practical, interpretable models and visualizations. An underappreciated strength is her deep domain knowledge of neural systems, which informs more biologically grounded model choices and feature engineering.
6 years of coding experience
13 years of employment as a software developer
University of Milan