Stanislav Schmidt is a Machine Learning Engineer in the Simulation Neuroscience Division.
Stanislav joined Blue Brain in 2019 where he now leverages modern deep learning techniques and tools to automate and improve the morphological classification of neurons in close collaboration with the neuroscience team. This involves using Python and TensorFlow to implement convolutional and graph neural networks, using supervised and unsupervised learning to train, evaluate, and improve the models, and keeping up with cutting-edge research in machine learning.
He gained his PhD in Theoretical High Energy Physics from the University of Southampton, UK and his MSc in Theoretical and Mathematical Physics – Ludwig Maximilian University of Munich, Germany. Prior to that, he graduated with a BSc in Physics from Friedrich-Alexander University Erlangen-Nürnberg, Germany.
In his free time, he enjoys snowboarding and playing ice hockey in the winter, and running and volleyball in summer.
Petrini, H. Samtleben, S. Schmidt, K. Skenderis, “The 10d Uplift of the GPPZ Solution”, JHEP 07 (2018) 026 [arXiv:1805.01919]