Yiannis earned his Bachelor’s and Master’s degree in Computer Science at FAU Erlangen-Nürnberg, completing with distinction. He then proceeded to complete his MBA in the Hong Kong University of Science & Technology, with a semester in London School of Economics. Prior to become a founder and innovator, he started his career at Accenture as an IT consultant before moving to Detecon International as Principal, Strategy & Transformation. In 2017, on an intensive summer programme at Singularity University in California, he met his co-founder Artur Saudabayev and together they started Causaly. With backgrounds spanning across consulting, computer science and natural language processing, the pair realised that advances in machine learning meant it should be possible for researchers to spend less time simply absorbing literature, and more time developing solutions. Causaly was founded in 2018 with a mission and vision to transform how humans can find, visualise and interpret biomedical knowledge, to accelerate solutions for some of the greatest challenges we face in human health.

Causaly develops a biomedical platform designed to find evidence, explore hidden connections and make new predictions in biomedical science, targeting the overwhelming challenge of researchers to keep up with the exponential growth of information in the field. With nearly 35 million documents processed on the platform, Causaly is helping advance research and innovation faster than ever.