Bram van Es

Bram van Es is an Assistant Professor at the University Medical Center Utrecht (UMC Utrecht), where he combines expertise in Medical Informatics and Economic History. His work bridges computational methods with historical analysis, focusing on applications such as machine learning in cardiology, epidemic financial impact, and conflict-induced socioeconomic dynamics. He collaborates across disciplines, contributing to journals like Open Heart and Journal of Cerebral Blood Flow and Metabolism.

• University: University Medical Center Utrecht
• Rank: Assistant Professor
• Email: bes3@umcutrecht.nl

His research spans two distinct yet interconnected domains:

• Medical Informatics: Developing large language models for healthcare, automated text classification in cardiac risk management, and diagnostic data extraction from unstructured clinical reports.
• Economic History: Analyzing epidemic-induced wealth redistribution, warfare consequences, and institutional dynamics in early modern Europe. He explores themes like resource allocation, state formation, and socioeconomic adaptation during crises.

Publications reflect this duality: recent works include machine learning applications in coronary imaging and haematology, alongside historical studies on epidemic impacts and warfare economics. He emphasizes methodological rigor, applying dimensionality reduction to clinical datasets and reproducibility frameworks in historical research.