Research scientist and engineer working on medical image analysis, computer vision and interpretable machine learning, with a parallel interest in sports science and analytics. I try to connect academic rigour with production-grade engineering.
My research concerns transparent, quantitatively validated AI systems for medical decision support. I place particular weight on reproducibility, reliability of annotation and geometry-aware modelling: a model that measures an angle on a radiograph should be judged against the variability of expert measurements, not only against a single reference label.
I work across the whole pipeline, from data acquisition and annotation protocols through modelling and validation to deployment, and I treat each of these stages as part of the scientific result rather than as supporting engineering.
Automated measurement on radiographs, including tibial plateau angle estimation in canine orthopaedics, developed with the University of Zurich.
Models whose decisions can be inspected and questioned; earlier work on rough sets for classification of cardiological data.
Image processing and augmented reality, including light-source extraction and image-based lighting.
Video and timing data for the analysis of athletic and combat-sport technique, close to my coaching practice.
I obtained the maximum score on the Mensa admission test (IQ above 148 on the Cattell scale, SD 24), which places me within the top 1% of the population on standardised measures of intelligence; on this basis I was admitted to Intertel International, a society whose membership threshold is the 99th percentile.
Polish member society of the International Association for Pattern Recognition (IAPR). Member since 2009.
Member since 2016. Maximum score on the admission test: IQ > 148 (Cattell scale, SD 24).
Member since 2016. Membership limited to the top 1% on standardised intelligence tests.
I teach software engineering and applied AI, and I expect student projects to be documented, reproducible and honest about their limitations. Recent courses include team programming, software engineering, mobile application development, AI agents in medicine, and AI systems design with API integration. I also mentor student teams preparing for AMPPZ, the Polish Collegiate Programming Contest, and supervise student research projects in computer vision.
I am looking for students, research assistants and future doctoral collaborators interested in medical imaging, computer vision or sports analytics.
I come from Nowa Dęba in Podkarpacie. As a teenager I trained in the Polish junior national athletics team, and I still run marathons. Today I coach young sprinters and middle-distance runners. In 2014 I rode a motorcycle to North Cape and, a few weeks later, to South East Cape, about 10,000 km in three months. I am a husband and the father of three daughters.