Dr. Rafael Brune

• Design, development and implementation of in house raytracing based physically accurate lidar, radar and camera sensor simulation frameworks • Scientific oversight of scenario extraction pipeline and quality analysis

Transferred machine learning concepts to spiking neural networks. Studied neural processing in the context of speech recognition. Implemented high-performance C simulation algorithms%for spiking neural networks, their integration into python and cluster computing environments. Lectured/tutored python/C programming and modeling courses.

Modeled and implemented stochastic spatio-temporal simulations of disease outbreaks Analyzed dynamics on complex networks. Studied structures in social networks. Administrated database and cluster computing facilities.

Maintained cross-compile toolchains and build environments. Validated build systems and developed tools for reproducibility.

Program for Theoretical and Computational Neurosciences. Thesis title: 'Margin learning in spiking neural networks'.