University of Surrey


The University of Surrey’s mission is to lead pioneering research and innovation to create new thinking and provide practical solutions for some of the world’s main technological and societal challenges. It works in partnership with national and international academia, policymakers, healthcare providers and commercial and industrial organisations. Surrey has seen extensive involvement in EU research projects for more than 25 years, including 266 projects from FP7 and Horizon 2020 programme. The scientists at Surrey have long-standing experience in working with large-scale, longitudinal multi-omic datasets, from data quality control to analysis as well as software development to application.

Role in LongITools

The University of Surrey will participate in machine learning prediction in work package 3 and perform exposome-based analysis in very large data sets.

Cohorts included: UK Biobank and the Royal College of General Practitioners Research Surveillance Centre (RCGP RSC) database.

Professor Inga Prokopenko

Principal Investigator (PI)

Inga (PhD) is Professor in e-One Health. Her research interests span over statistical and computational method development and application to large-scale omics data to understand human disorders, such as type 2 diabetes, its related endophenotypes, and co-morbid conditions including cancer, depression and cardiovascular disease. Inga has long-standing experience in leading efforts within large-scale international collaborations, including the MAGIC and DIAGRAM consortia, as well as the EU-funded ENGAGE and DynaHEALTH projects. For LongITools, Inga will lead the team of scientists at the University of Surrey contributing to analyses of very large datasets, by their omics characterisation, in relation to the risks of cardiometabolic disease through the lifespan.


Dr Zhanna Balkhiyarova

Research Team

Zhanna (MD, PhD in genetics and endocrinology) is a Research Fellow in Multi-omics Analysis. Her field of investigation is in large-scale omics data analysis of cardiometabolic diseases, including type 2 diabetes and obesity and comorbid conditions, such as depression and cancer. Zhanna has experience in the analysis of longitudinal data from Northern Finland Birth Cohorts, UK and Estonian Biobanks, and the LifeLines cohort.