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}
\headermsg{
- I do research in high-performance and heterogeneous computing and apply it to architect online systems for scientific instrumentation.
- With improvements in detector technology, I believe new approaches are required to keep pace with the increasing data rates.
- Codesign of hardware, software, and analysis algorithms is often a key to successful projects.
- %With deep knowledge across computer science and IT technology, I can grasp complex systems as a whole and pay attention to the performance of critical components.
- Currently, I lead an effort to adopt cloud technologies for data acquisition and control systems.
+ I do research in high-performance and heterogeneous computing and apply it to architect online systems for large-scale scientific instrumentation.
+ With improvements in detector technology, I believe new approaches are required to keep pace with the increasing data rates and still provide sustainable software for long-running experiments.
+ My research vision is to develop software architectures that separate stable software infrastructure from rapidly evolving domain-specific algorithms and hardware platform.
+ Strong background in HPC, GPU acceleration, low-latency data paths, and cloud-native platforms.
+ Proven ability to turn research prototypes into reliable production systems and to lead cross-team engineering efforts.
+ %Recently led the cloud-native transformation of the KATRIN neutrino experiment, enabling 200\,Gb/s data acquisition and integrating thousands of sensors.
}
\begin{document}