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Adam Piasecki is a postdoctoral researcher affiliated with the University of Gothenburg, primarily focusing on clinical machine learning applications. His expertise lies in data science, particularly in employing machine learning techniques to enhance clinical outcomes. His pedagogical contributions include teaching courses related to higher education and supervising postgraduate programmes. Piasecki's research has yielded significant insights into the survival probabilities of patients with ectopic Cushing's syndrome through systematic reviews and meta-analyses. He has also contributed to studies concerning neurologic outcomes following out-of-hospital cardiac arrests, utilizing interpretable machine learning approaches. His work aims to integrate data science skills with clinical practice to improve patient outcomes and advance medical research.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).