Kevin Shen
PHD Candidate
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolKevin Shen is a PhD candidate at BMW Group and Leiden University specializing in quantum-enhanced generative modelling, combining industry-driven research with rigorous academic supervision. With eight years of experience across quantum research labs and applied roles, he has hands-on expertise in quantum software engineering, superconducting qubit control and benchmarking, and Python tooling for experimental data analysis. Trained at TUM, École Polytechnique and HKUST with top grades and a perfect IB, he blends deep theoretical skills in math and physics with practical implementation experience. Based in Munich, he bridges corporate R&D and cutting-edge NISQ algorithm development, and has contributed to virtual conference platforms and technical community initiatives that reflect an aptitude for both engineering and science communication.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Mathematics, Summa cum laude, GPA 4.0 / 4.0, Bachelor of Science - BS, Mathematics, Summa cum laude, GPA 4.0 / 4.0 at École PolytechniqueMaster's degree, Quantum Science and Technology, 1.2, Master's degree, Quantum Science and Technology, 1.2 at Technical University of MunichInternational Baccalaureate Diploma, Full Marks 45 / 45, International Baccalaureate Diploma, Full Marks 45 / 45 at Shanghai High School International DivisionHong Kong University of Science and Technology (HKUST)
English, Chinese, German, French
Github Skills (20)
automatic-differentiation9
optimization9
quantum-computing9
qml9
python8
deep-learning8
machine-learning8
quantum-chemistry8
pytorch8
qiskit8
autodiff7
quantum-algorithms7
cirq7
tensorflow7
differentiable-programming7
Programming languages (2)
Github contributions (5)
kevinkayyy/VQC-Lite
Oct 2022 - Nov 2022
Contributions:20 commits, 11 pushes in 23 days
kevinkayyy/pennylane
Dec 2022 - Dec 2022
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
Contributions:10 pushes in 3 days
python-librarydifferentiablepythondifferentiable-programmingquantum-computing
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