Summary
Bartosz Zieliński is a computer vision scientist and leader with 12 years of experience, currently serving as Director of the Jagiellonian Center for Artificial Intelligence and an Associate Professor at Jagiellonian University. He holds a PhD in Computer Science and a habilitation, and his research spans explainable AI, medical image analysis, weakly supervised segmentation, topological data analysis, and generative models. Bartosz has bridged academia and industry—leading R&D teams at Ardigen and IDEAS NCBR—translating novel algorithms into practical tools for histopathology and large-scale biomedical data. He combines deep theoretical insight with hands-on experience in applied projects (from hand radiographs to ultrasound and scanner images), and is known for exploring vectorized representations of persistence diagrams, an uncommon intersection of topology and deep learning. Based in Krakow, he also regularly teaches and mentors, bringing rigorous research methods to multidisciplinary teams.
12 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Polish Academy of Sciences
Participation, Computer Vision and Machine Learning, Participation, Computer Vision and Machine Learning at VISUM Summer School
Participation, Computer vision, Participation, Computer vision at International Computer Vision Summer School
Participation, Image processing, Participation, Image processing at Summer School on Image Processing
Master of Science (MSc), Computer Science, Master of Science (MSc), Computer Science at Jagiellonian University
Participation, Big Data and Machine Learning, Participation, Big Data and Machine Learning at Big Data meets Machine Learning
Habilitation, Computer Science, Habilitation, Computer Science at Wroclaw University of Science and Technology