About
The brain begins to change decades before symptoms appear. By the time someone notices memory loss or tremor, much of the damage is irreversible. My work asks: can we see these changes earlier, when intervention is still possible?
I develop explainable AI methods that turn digital tools into windows on brain health. Online cognitive tests, standard MRI scans, eye tracking: these accessible technologies can reveal early changes when combined with interpretable machine learning. The approach emphasizes transparency. Clinicians should be able to understand why a diagnosis is made, not just accept an algorithm's output.
Working with collaborators across Europe and the US, I focus on making brain longevity research practical and deployable. Methods that can reach people before it's too late to intervene.
Education
- PhD in Computer Science
Polish-Japanese Academy of Information Technology, Warsaw - M.Sc. Computer Engineering
Rzeszow University of Technology - B.Sc. Computer Engineering
Rzeszow University of Technology
Research Areas
- Machine Learning & AI
- Digital Biomarkers
- Neurodegenerative Diseases
- Brain Aging & Cognitive Longevity
- Digital Phenotyping
- Computational Neuroscience
- Medical Data Mining
Impact
- PubMed Indexed
- Springer, MDPI, IOS Press
- Nature Portfolio Reviewer
- European & US Research Networks
- QIMS Reviewer of the Month