Completed and ongoing work across infectious diseases, chest X-ray AI, cardiology, echocardiography, ECG, and medical language modeling.
Population-level analyses that connect public health interventions with measurable disease patterns.
Completed with WUM, this work examines how pandemic-era interventions affected notifiable infectious disease trends across Poland.
Foundation models, report-labeling systems, and imaging biomarkers for chest radiography.
A benchmark of language-model performance for structured CheXpert-style labeling from radiology reports.
A post-trained multimodal model designed around chest X-ray understanding and clinical report reasoning.
A deep learning study of imaging-derived age as a mortality biomarker using chest X-ray data.
Clinically grounded language-model systems for medical education, reasoning, and specialist support.
A tool-augmented language-model project for nephrology learning, continuing education, and structured clinical reasoning.
Evidence-grounded multimodal systems for cardiology workflows and clinical decision support research.
A cardiology-focused multimodal agent designed to ground its assistance in evidence and clinical context.
Generative and uncertainty-aware echocardiography research connecting ECG signals, clinical context, and cardiac imaging.
A generative echo project exploring full 9-view study synthesis from ECG and clinical context, with uncertainty awareness.