Sjoerd Beentjes is a tenured Assistant Professor in Biostatistics at the School of Mathematics, University of Edinburgh, UK. His research interests primarily lie in causal inference and high-dimensional statistics, and developing rigorous statistical inference procedures with application domains such as genomics, molecular biology, and health informatics, in particular in collaboration with regulatory bodies. He completed a PhD in pure mathematics, and his other research interests include leveraging ideas from pure mathematics in causal inference and statistics. Recent work has been (i) Targeted Learning estimators for applications to large-scale cohorts in population genetics (TarGene), and (ii) translational work using mediation analysis on how myalgic encephalomyelitis (ME), also known as chronic fatigue syndrome (CFS), affects various blood markers.
Causal Inference, targeted learning, semi-parametric efficiency theory, genomics, health informatics, real-world evidence
