CV
Maximilian Vogt
Education
B.Sc. Data Science & AI (dual study)
DHBW Ravensburg
Focus: AI & Intelligence Engineering. TODO: grade, thesis topic.
Experience
Dual student
Mercedes-Benz Tech Innovation
Practical phases. TODO: teams and topics.
Autonomous Driving team
Global Formula Racing (Formula Student)
Driverless stack in ROS (C++/Python). TODO: your area.
Research
- Typing the rare neurons of an unlabeled connectome by graph matching, guided by a transferred graph neural network
M. Vogt. Preprint in preparation. Code: doi:10.5281/zenodo.23768609
Projects: see all projects.
Skills
- Python, C++, JavaScript/TypeScript
- PyTorch, PyTorch Geometric, scikit-learn, NumPy, pandas
- ROS, simulation
- Linux, Docker, Git, LaTeX