Dr. Bernhard Kaplan

- Data exploration, model preparation, visualization and data management from raw IoT data to training databases with Python, jupyter notebook, pandas, scikit-learn, PyMongoDB - Algorithm development for movement classification with Python-asyncio on IoT device - Predictive maintenance towards a microservice-based solution with Kubernetes - Support other teams in data analysis tasks

Post-doc in the department of Visual Data Analysis, working on computational methods for photoacoustic tomography including modeling, simulation and data analysis.

Thesis: "Modeling prediction and pattern recognition in the early visual and olfactory systems" -Simulations of large biophysically plausible neural networks, learning algorithms for pattern classification & completion, prediction, reinforcement learning -Teaching assistant in ML and ANN lectures

Thesis: "Self-Organization Experiments for a Neuromorphic Hardware Device", final grade: very good Supplementary certificate in computer science (software&computer engineering, operating systems, networks, database systems, theoretical CS, image processing, computational physics, microelectronics).