Nicolas Pielawski

Nicolas Pielawski is a Research Fellow at Uppsala University's Department of Information Technology, Division of Systems and Control, where he develops AI solutions for emergency medicine. His work bridges Bayesian statistics, information theory, and healthcare applications to enhance decision-making systems.

Research interests focus on AI implementation in clinical settings, uncertainty quantification, trustworthy AI systems, and mathematical modeling of complex problems. Key areas include Bayesian inference, neural network interpretability, and multimodal learning for biomedical data.

Publications demonstrate consistent focus on deep learning innovations, particularly in medical image processing and natural language model optimization. Recent work emphasizes computational efficiency, interpretability, and applications in spatial omics and emergency healthcare contexts.