Biography

Michiel Nijhuis is a data scientist at the Data Science Hub of De Nederlandsche Bank (DNB), specializing in advanced analytics and machine learning applications. His work spans central banking and prudential supervision, applying machine learning techniques to various subject matters from banknote sorting to nowcasting of greenhouse gas emission, stress testing, and outlier detection in supervisory data. In 2023, he was seconded to the European Central Bank (ECB) to investigate climate transition risk in credit portfolios. Earlier in his career, he worked as a software developer, integrating machine learning algorithms into an energy planning software suite. Michiel holds a PhD in Electrical Engineering from TU Eindhoven and an MSc in Sustainable Energy Technology from TU Delft.