Summary
Anna Chabuda is a seasoned Data Scientist with 14 years of experience applying machine learning and signal processing to neuroscience and healthcare projects, currently advancing data-driven solutions at DocPlanner. She holds advanced degrees (including PhD-level study) in Biomedical Physics and Neuroinformatics and has led interdisciplinary teams building real-time signal analysis, BCI systems, and experimental pipelines for EEG, posturography, and eye-tracking studies. Her career blends academic rigor and product-minded engineering—designing complex experimental setups, automated analysis pipelines, and visualizations that bridge research and clinical applications. Notably, she has repeatedly taken ownership of end-to-end systems from hardware specification through Python implementation and team training, delivering practical tools for diagnosis, rehabilitation, and cognitive-motor research.
14 years of coding experience
7 years of employment as a software developer
PhD, Biomedical Physics, Physics, PhD, Biomedical Physics, Physics at Uniwersytet Warszawski