Guénolé Le Pennec
Guénolé Le Pennec is data scientist in the Blockchain Research Lab. He is interested in the use of machine learning methods to show patterns in data. He aims to apply data-driven methods to questions relevant to blockchain technologies and their use for our society. His focus lies in the search, collection, analysis and graphical representation of blockchain data. Recently, he has been involved in the analysis of data to detect inflated trading volumes in the cryptocurrency ecosystem. His educational background is evolutionary biology and he pursues a doctorate in the University of Oldenburg. Aside of his work, Guénolé enjoys learning foreign languages and brazilian Jiu-Jitsu.