Jun Z

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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Top School
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.
code10 years of coding experience
job8 years of employment as a software developer
bookDoctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University of Hamburg
bookBachelor of Engineering - BE, Nuclear Engineering and Technology, Bachelor of Engineering - BE, Nuclear Engineering and Technology at Tsinghua University
languagesEnglish, Chinese, German
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Github Skills (10)

unit-testing10
c-language10
tensor10
cprogramming-language10
multidimensional-arrays10
numpy10
data-structure9
algorithm9
data-structures9
algorithms9

Programming languages (6)

C++ShellRustJupyter NotebookPythonFortran

Github contributions (5)

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xtensor-stack/xtensor

Sep 2019 - Mar 2021

C++ tensors with broadcasting and lazy computing
Role in this project:
userBack-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.
cppmpinumpypython-bindingsc-plus-plus
zhujun98/linacopt

Jan 2017 - Jun 2018

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