Sebastian holds a master’s degree in applied mathematics from the University of Oslo and Simula Research Laboratory, finished in 2017. In his thesis he built a Fluid-Structure Interaction solver with Python using the FEniCS platform. This also included working with supercomputers parallelizing the computational efforts. During his studies he gained knowledge in algorithms, numerical computing and programming in different languages.
After graduating he worked for Shortcut AS, an app-development company, developing iOS apps and working with Splunk for monitoring and analyzing machine-generated big data. He has also taken courses and attended conferences on AI/Machine Learning, learning neural networks using Tensorflow, Keras, scikit-learn.
Apart from that he is highly adaptable to any situation and can quickly learn new languages and frameworks.