Simen is a computational scientist who submitted his Ph.D. in computational neuroscience in 2019. He has a background from computational astrophysics where he wrote software for finding clusters of galaxies in cosmological N-body simulations. His Ph.D. focused on quantifying uncertainties in computational models of neurons and neural networks and he created a Python toolbox for performing these calculations. Additionally, the work included creating a new specification for data storage, data analysis, and developing an educational neural network simulator. Simen also has teaching experience and has co-authored a textbook that teaches first-semester bachelor students in biology programming, data analysis, and computational modeling.
Simen has experience at learning new disciplines and enjoys using the computer to solve complex problems, create models and numerical simulations and perform data analysis.