Dr Manuel Corpas

As a distinguished bioinformatician with a profound passion for genomics and its revolutionary applications in personalised medicine, I have dedicated my career to bridging the gap between raw genomic data and actionable clinical insights. My academic journey began at the University of Navarra, where I received my degree in Biomedical Sciences. I then pursued a Master's degree and a PhD in Bioinformatics at the University of Manchester, complemented by 3.5 years of postdoctoral experience at the Wellcome Sanger Institute in Cambridge, UK.

Currently, I serve as a Lecturer of Genomics at the University of Westminster, where I guide and inspire the next generation of genomic scientists. In parallel, as Chief Scientist and Founder of Cambridge Precision Medicine, I lead efforts to develop computational methodologies that enhance our understanding of human genomes. 

The pinnacle of my journey so far has been my recent appointment as a Fellow at the Alan Turing Institute, the UK's national institute for data science and artificial intelligence. This fellowship represents not only a recognition of my contributions to the field but also an opportunity to collaborate with leading minds in technology and data science. It is a platform through which I aim to further my research, contribute to the advancement of AI and genomics, and make a lasting impact on personalised medicine.

Through my work, I strive to create a future where healthcare is more precise, tailored, and accessible. I am driven by the belief that through collaboration, innovation, and a commitment to open science, we can unlock the full potential of genomics for the benefit of all.

Feel free to connect with me to explore collaborations, share insights, or engage in discussions about the future of AI and Data Science in Genomics and Personalised Medicine.

His primary research involves the analysis of next generation sequencing datasets (whole genomes). For that he uses the greatest possible integration of markers available genome-wide: monogenic, polygenic, pharmacogenomic, nutritional and fitness-related in order to prevent disease and enhance health. While analysing less than the whole genome may be still useful, the ability to cover intergenic regions is crucial particularly for complex disease traits, which tend to include intragenic as well as intergenic markers.

Throughout the years, Dr Corpas have led a series of research papers describing the state of the art in personal genomics analysis for disease prevention and trait awareness, including the analysis of the whole genomes of an entire family. This showcased current advances in the application of genome analysis at the direct-to-consumer level.

In brief

Research areas

Human Genomics, Bioinformatics, Next Generation Sequencing, Computational Genomics and Personal Genome Interpretation

Skills / expertise

Programming, Data Analysis, Pipeline Development, UNIX and Cloud Computing

Supervision interests

Polygenic Risk Scores, Statistical Genetics, Whole Genome/Exome Analysis, Population Genomics, Diversity Genomics, Artificial Intelligence and Data Science