Senior Research Scientist & Tech Lead (Varian) at Siemens Healthineers
Zurich, Zurich, Switzerland
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Summary
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Senior
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Jun Z is a senior research scientist and tech lead based in Zurich with 10 years of experience building high-throughput, real-time software and ML solutions for large-scale scientific facilities and medical imaging. Currently leading motion management and algorithm development at Siemens Healthineers (Varian), he combines physics-rooted rigor from a PhD with hands-on C++ and ML engineering to deliver production-grade systems that process GB/s data streams. His prior work includes designing EXtra-foam for real-time visualization at European XFEL and RECASTX for near real-time 3D tomographic reconstruction at PSI, the latter supported by a CHF 300k SDSC grant. Jun is an active open-source contributor to performance-sensitive libraries like xtensor, improving numerical robustness (NaN-aware statistics) and test coverage, reflecting a deep attention to correctness in scientific computing. He has a track record of translating noisy experimental data into robust models and systems, earning recognition such as DESY’s special achievement award for real-time virtual diagnostics. Colleagues rely on him to bridge research, engineering, and user-facing operations in mission-critical, data-intensive environments.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University of Hamburg
Bachelor of Engineering - BE, Nuclear Engineering and Technology, Bachelor of Engineering - BE, Nuclear Engineering and Technology at Tsinghua University
Back-end Developer & QA Engineer / Test Automation Engineer
Contributions:27 reviews, 18 commits, 16 PRs in 1 year 6 months
Contributions summary:Jun focused on improving the `xtensor` library's math functions, particularly related to NaN handling. They implemented enhancements to the `nanmean` and `variance` functions by fixing return data types and adding result type template arguments to these functions, improving code accuracy and flexibility. They also added unit tests to verify the functionality of the `nanmean`, `nanvar`, `nanstd` and `variance` functions and improve the histogram performance.
Contributions:81 commits, 49 pushes, 1 branch in 1 year 4 months
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Jun Z - Senior Research Scientist & Tech Lead (Varian) at Siemens Healthineers