Summary
Patrycja Dzianok is a multidisciplinary postdoctoral researcher and data scientist with 8 years of experience combining cognitive neuroscience, imaging genetics, and large-scale biomedical data analysis. She holds a PhD (doctorate cum laude) and has led an NCN-funded project investigating how Alzheimer’s risk gene polymorphisms shape brain function, managing complex EEG/fMRI/MRI datasets and project administration. Equally comfortable with Python, MATLAB and R, she now works with a 30,000+ EEG recording cohort applying machine learning to neuropsychiatric and neurodegenerative questions. Her background in applied computer science and freelance IT work means she bridges research, policy, and production-ready tooling—she has shaped institutional data-management and open science policies consulted by national bodies. Outside the lab she channels the same observational rigor into wildlife photography, reflecting a rare blend of technical precision and visual storytelling.
8 years of coding experience
6 years of employment as a software developer
Warsaw University of Technology
Doctor of Philosophy - PhD, Biology (Neurobiology), doctorate cum laude, Doctor of Philosophy - PhD, Biology (Neurobiology), doctorate cum laude at Nencki Institute of Experimental Biology PAS
Master's degree, Cognitive Science, Master's degree, Cognitive Science at Uniwersytet Mikołaja Kopernika w Toruniu
English, Polish