Floriaan Schmidt

Principal Research Fellow

Expertise: Population health, machine learning and human genetics

Currently, Floriaan maintains  positions with UCL, as well as Amsterdam UMC. His research focusses on developing and applying human genetics for drug target validation (Schmidt, Nature Communications 2020 & 2021). Additionally, Floriaan conducts research to improve risk prediction modelling by integrating electronic healthcare records data with information from multi-modal sources, including imaging, genomics and metabolomics. His academic fields include epidemiology, causal inference, machine learning, prediction modelling and human genetics.