Kilian Holzapfel
Angestellt, Postdoctoral Researcher | Data Scientist | Physicist, TUM München
Munich, Deutschland
Über mich
I consistently strive to exceed expectations for success with strong drive and enthusiasm. I have extensive experience as a data scientist, research engineer, and data engineer from several astroparticle detector projects. In these endeavors, I have covered the entire lifecycle from the initial simulation phase to sensor development, their hardware implementation, the whole software stack from embedded software to back-end systems, and concluded the projects with high-level data analysis combining both deterministic methodologies and machine learning tools.
Werdegang
Berufserfahrung von Kilian Holzapfel
Bis heute 8 Monate, seit Okt. 2023
Board Chairman | Volunteering
Stadtpiraten e.V.
• Childcare Center in Schwabing with 15 children and 3 full-time employees
Bis heute 1 Jahr, seit Juni 2023
Postdoctoral Researcher | Data Scientist | Physicist
TUM München
• 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
1 Jahr und 2 Monate, März 2020 - Apr. 2021
Team Lead & Strategy Consultant
ito & TUM
• 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
3 Jahre und 7 Monate, Juni 2016 - Dez. 2019
Foundation & Chairman
Homanit Sailing Team
• Founded an international sailing team of 8 young talents• Won two Corinthian world championships • Organizing sponsorships
4 Jahre und 3 Monate, Dez. 2014 - Feb. 2019
Scientific Assistant | Hardware Developer
TUM München
• Rapid hardware development of prototypes • Successful deployments in Lake Baikal and the Pacific Ocean • Design optimizations • Lab testing • Risk mitigation
Ausbildung von Kilian Holzapfel
4 Jahre und 5 Monate, März 2019 - Juli 2023
Physics
TU Munich
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
3 Jahre und 3 Monate, Okt. 2015 - Dez. 2018
Physics
Technische Universität München
• 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
3 Jahre und 11 Monate, Okt. 2011 - Aug. 2015
Physics
Technische Universität München
• 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
Sprachen
Deutsch
Muttersprache
Englisch
Fließend