Sonja Katz
PhD student, Erasmus MC
Interests
- Medical AI
- Interpretable Deep Learning
- AI-based Epidemiological Studies
- Interpretability and Confounder Problems in Machine Learning
Research lines
Biography
Sonja is a PhD candidate at Wageningen University and Research in collaboration with Erasmus MC department of Radiology & Nuclear Medicine.
Her research focuses on the development of artificial intelligence models and methodologies to capture patient characteristics utilising a variety of data, spanning from biochemical measurements to molecular data, with the ultimate goal of improving patient stratification. In an attempt to bridge the gap between research and clinical practice she prioritizes the interpretability of models as well as disseminate the results of her research in the form of clinical decision support systems, which are built to be easily integratable in daily clinical practices.
Curriculum Vitae
In 2019, Sonja received her MSc degree in Medical Biotechnology from the University of Natural Resources and Life Sciences in Vienna. From 2020-2023 she was part of an Innovative Training Network in the field of Precision Medicine (TranSYS) with a project termed “Developing and demonstrating data mining and A.I. tools to better understand patient heterogeneity and assist patient stratification”. Currently Sonja is in the process of finalising her PhD studies.