Resume
Academic Achievements
- Article published in Journal of neuroscience methods; Neumo prize in online BCI competition for TNTL team using deep learning methods; Article published in Science Robotics; Article accepted for publication at the 6th International Congress on Neurotechnology, Electronics and Informatics; Article accepted for publication at IEEE International Conference on Systems, Man, and Cybernetics 2018.
Research Experience
- Research areas include Deep Learning & Convolutional Neural Network Visualization, Modeling & Multi-Scale Imaging, Real-Life Neurophysiology, Intelligent Brain Implants, Neuroethics & AI-Ethics, Brain-Computer Interfacing & Neurobotics, Neurolinguistic BCIs, Invasive Brain Computer Interface, Non-invasive Brain Computer Interface, Freiburg Neurobotics, High-gamma EEG, Intelligent Closed-Loop Systems, Virtual & Augmented Reality, Medical VR & Segmentation.
Education
- Master in Computer Science from Albert-Ludwigs-University Freiburg.
Background
- Research Interests: Using machine learning to help people, currently focused on machine learning + EEG in medical contexts. Specifically, deep learning, model interpretability, brain-computer interfaces, and automated diagnosis.
Miscellany
- Born, raised, somewhat educated in Berlin, further educated in Freiburg.