Manuel Pasieka

Building the worlds best synthetic data generation engine that protects the privacy of individuals without sacrificing data quality. - Researching and developing product improvements - Customer support and training during PoC's - Development of internal tools for dataset management and experiment automatization - Training and supervision of junior data scientists - Tensorflow/Keras, pySpark, Docker, AWS

Developing data analysis applications used by neuroscience researchers. In particular applications to automatically quantify and analyze animal behavior, and software to process and analyze neuronal activity. - Developing hardware control software for behavior experiments - Building tooling for data processing and visualization - Creating network analysis tools for structural and behavioral neural measurements - Python, Matlab, R, matplotlib, seaborn numpy, pandas, scipy, scikit-learn