Data Scientist, Siemens Energy

Biography

With a background in Mathematics and Operations Research, Rasmus is currently developing machine learning technology for wind turbine generators as part of an industrial PhD program. He received his Master's degree in Mathematics-Economy from Aalborg University and in the following 6 years been working as a Data Scientist at Siemens Gamesa Renewable Energy. With this position in innovative development in machine learning and with continued cooperation with Aalborg University, this resulted in the unique opportunity for an industrial PhD position. The main focus of the technology is to create predictive modelling for use in predictive maintenance in the wind sector.