Ava Khamseh is a tenured Assistant Professor in Biomedical AI at the University of Edinburgh, UK. Her cross-disciplinary research focuses on developing and applying causal machine learning in genomics and health informatics. She is also the Deputy Director of the Centre for Doctoral Training in AI for Biomedical Innovation at the School of Informatics. Recent work has been in (i) method development in high dimensional statistics for quantifying cell types and states in healthy and disease tissue using single cell RNA-sequencing (Stator), (ii) Targeted Learning estimators for application to large-scale genotype-phenotype inference in population genetics (TarGene), (iii) real-world evidence generation from electronic health records.
Causal Inference, machine leaning, targeted learning, genomics, molecular biomedicine, health informatics, real-world evidence.
