Our researcher Niklas Maximilian Heim received the award for best thesis which he pubslished as a Master student in computational physics during his studies at the Niels Bohr Institute, University of Copenhagen. Nominees from all eight Danish universities compete for this annual award from the Danish Society for Computer Science (Dansk Selskab for Datalogi). This year is the first time ever it has been awarded to a physics student. Congratulations Niklas!
In his winning thesis, Automated Anomaly Detection in Chaotic Time Series, Niklas Heim developed new machine-learning methods and software that automatically discover outliers in ocean simulation data. The goal is to detect new oceanic and atmospheric phenomena hidden in the enormous data sets produced by climate simulations, for example shifts in ocean currents or wind patterns. The methods can be used in many other fields where discovering anomalies is key, from financial transactions to biology. Read the full text and check out the datasets at Niklas's GitHub profile.
Further information about the award and his research can be found in this great article at Niels Bohr Institute website.