BRCCH Professor of Computational Medical Genomics
Prof Na Cai investigates the genetic basis of neuropsychiatric diseases, particularly Major Depressive Disorder (MDD). Together with her research group, she develops new computational and quantitative methods to assess the risk of developing MDD based on genetic variation, either directly or in conjunction with physiological and external stimuli.
Prof Ece Özken Elsen develops computational models to support clinicians in the diagnosis and management of paediatric diseases. By integrating multi-modal datasets and drawing inspiration from human behaviour, she develops interpretable artificial intelligence-driven healthcare solutions that will contribute to advancing precision medicine for children and adolescents.
BRCCH Professor in Paediatric Digital Health Analysis
BRCCH Professor in Pediatric Disease Modeling
Prof Burcu Tepekule’s research seeks to understand how microbial exposures during early life shape lifelong health and immune function. She approaches this question through complementary quantitative perspectives: mechanistic mathematical models to formalize biological processes, causal inference methods to disentangle complex host–microbiome interactions and statistical methods for analysing longitudinal paediatric cohort data. Her overarching goal is to translate these insights into novel diagnostic tools and microbiome-based interventions, spanning applications from antibiotic stewardship to personalized probiotic therapies.
Prof Quake’s research focuses on developing innovative diagnostic tools by integrating fundamental insights from microfluidics, single-cell genomics, and computational modelling. By advancing methods for analysing cell-free RNA and DNA, his work opens new avenues for the early detection and monitoring of a wide range of diseases, including those affecting children.
BRCCH Professor of Biophysics and Biomedical Engineering
