Dr. Kilian Holzapfel

Analysed autonomous driving test data across multiple countries to enhance system safety. Developed a new code and data architecture, achieving significant improvements in runtime, implementation speed, debugging, and data consistency. Deployed a machine learning model for time series classification and introduced advanced sensor fusion methods. Spearheaded the development of a data-driven trace analysis, improving operational efficiency, establishing a data governance and machine learning strategy.

• Childcare Center in Schwabing with 15 children and 3 full-time employees

• Analysing environment parameters and light background, which are essential for the P-ONE particle detector • Numerical simulation • ML • Time series analysis • Com-puter vision • Big data • Sensor fusion • LiDAR • Camera • PMT • Publishing two papers

• Initialized the Bluetooth Specification WENS & Member of the Working Group • Strategy Consultation of SAP & Dutch Government • International Networking • Co-founding of Linux Public Health • Press work • Lab measurements • Encryption

• Founded an international sailing team of 8 young talents• Won two Corinthian world championships • Organizing sponsorships

• Rapid hardware development of prototypes • Successful deployments in Lake Baikal and the Pacific Ocean • Design optimizations • Lab testing • Risk mitigation

Quantifying never-before-measured deep-sea bioluminescence properties by developing an ML computer vision algorithm trained on over 1 million unlabelled 16-bit raw images, with fine-tuned feature extraction that guarantees bias suppression, allowing the use of a physical effect for training to ultimately achieve separation of weak signals from noise down to clusters of 5 pixels. • Optical simulation • Statistics • ML • BigData • Database

• Demonstrating the improved calibration capabilities in GVD, such as reducing the detector's position errors by over 90%, achieved through a comprehensive data anal-ysis. • Optical simulation • Analyzing real world data

• Inventing a 4π-isotropic light source with an intensity delta below 2% by setting up a ray tracing simulation in C++ and utilizing it for optimization