Fuse

Oscar Wilsby

Oscar has built large-scale payments and credit data analytics models that outperformed incumbents like Experian by a significant margin. These models helped power the first startup he co-founded and scaled to a multi-million $ run rate. Before tech, Oscar was a post-doc researcher and completed an MEng and PhD in Machine Learning and Computational Physics at Cambridge. He's worked in research divisions for companies like McLaren F1 and Dyson, applying machine learning to complex data problems.

Sho Sugihara

Sho is a repeat founder. He co-founded and scaled a fintech startup to multi-million $ ARR within twelve months from launch and eventual profitability. Before that, he worked on data analytics projects at McKinsey for some of the largest healthcare systems in the world, including the NHS and several of the top ten private healthcare insurers. He studied at Cambridge and the Karolinska Institutet. He is originally from Japan.