Dr Jing Yu

Jing is a Computational Geneticist with deep expertise in rare disease genomics, structural variant analysis, and cloud-based engineering solutions. He holds a PhD in Genetics from the University of Nottingham, where he studied DNA repair proteins using crystallographic and genetic techniques. Over the past decade, Jing has contributed to major research programs across the UK genomics ecosystem, including Genomics England’s 100,000 Genomes Project and the UK Inherited Retinal Dystrophy Consortium.

During his time at the University of Oxford, Jing developed SVRare, a breakthrough tool that significantly accelerated structural variant-based diagnosis in rare genetic disorders. The method has supported over 200 new diagnoses and underpinned several high-impact publications. He also contributed to the Eye2Gene initiative—recently published in Nature Machine Intelligence—which applies AI to predict genetic causes of inherited retinal diseases. He later spent over two years at Novo Nordisk, where he contributed to a range of genomic initiatives, including the development of analytical pipelines, large-scale sequencing projects, and the application of genetic data in diverse research and safety contexts. 

Now at Sequoia Genetics, Jing brings a rare combination of engineering fluency and human genetics insight. He leads the design and implementation of scalable genomic workflows, variant annotation pipelines, and integrated data platforms across clinical and research settings. His work is instrumental in bridging bioinformatics innovation with translational impact.