Paulina Dąbrowska

Paulina Dąbrowska graduated from Neuroinformatics at the Faculty of Physics of the University of Warsaw, Poland, in 2016. In her bachelor thesis, supervised by Dr Rafał Kuś, she explored the origins of the SSVEP rhythm observed in human EEG upon stimulation with blinking light. In her master thesis, supervised by Prof. Dr Jarosław Żygierewicz, she examined the performance of a periodic signal parameterization method FAD on surrogate EEG data. She continued in Germany with a one-year-long joint training program "SmartStart into Computational Neuroscience" provided by the Bernstein Network Computational Neuroscience, under supervision of Prof. Dr Marcus Diesmann (Jülich Research Center & RWTH Aachen, Germany) and Prof. Gaute Einevoll (Norwegian University of Life Sciences & University of Oslo, Norway). During the program she has spent one month in the laboratory of Prof. Einevoll in Oslo. Aterwards she continued in Jülich with Prof. Dr Marcus Diesmann and Prof. Dr Sonja Grün in the working group Statistical Neuroscience, where she worked with massively parallel spike train recordings from macaque monkeys in resting state - a paradigm previously applied solely in human studies. The activities involved statistical data analysis, data management and collaborative development of analysis software Elephant. In collaboration with institute's other working groups, she compared theoretical predictions with real brain activity data to finally provide a data set and workflow adequate for validation of biophysically realistic large-scale models of cerebral cortex. In November 2022, she joined Prof. Dr-Ing. Piotr Wojciech Dąbrowski at the University of Applied Sciences in Berlin (HTW Berlin) in the project FitForFDM, which aims at providing unified support services in research data management for all Faculties of the University.