German Cancer Research Center (DKFZ)
Post-doctoral fellowship as part of the AI Health Innovation Cluster, öffnet eine externe URL in einem neuen Fenster

Drawing on her educational background, Evangelia Christodoulou holds a BSc. in mathematics and an MSc. in Biostatistics. In 2021, she successfully completed her PhD in clinical prediction modelling at KU Leuven, Belgium, with guidance from Professor Ben Van Calster. Throughout her doctoral studies, she garnered valuable experience collaborating in an interdisciplinary setting that brought together oncologists and statisticians. Her contributions during this period were particularly impactful, concentrating on enhancing the methodological integrity and validation procedures for predictive algorithms utilizing clinical data.

In February 2021, she became a member of the German Cancer Research Center (DKFZ), securing a postdoctoral fellowship as part of the AI Health Innovation Cluster of the department led by Professor Lena Maier-Hein. At present, her research focuses primarily on validating AI algorithms in the realm of medical imaging analysis. Furthermore, she is delving into the potential of deep learning techniques to support clinical prediction utilizing tabular data.