Junyi Zhu
Senior Applied Scientist at Microsoft
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolJunyi Zhu is a Senior Applied Scientist with eight years of experience developing human-centered AI, currently based in London and working at Microsoft after research roles at Samsung Research UK and KU Leuven. His PhD work focused on generative models, privacy in AI inference, and improving training and inference efficiency—bridging deep learning theory with practical system constraints. Junyi has a strong background in autonomous systems and mechatronics from KIT and Beijing Institute of Technology, which informs a multidisciplinary approach to building models that understand people in real-world settings. He moves fluidly between academic research and industry R&D, publishing and collaborating internationally while driving product-relevant innovation. Notably, his career path spans hands-on roles from undergraduate research labs and industry internships to senior research positions, demonstrating an ability to translate early experimentation into scalable AI solutions. Reachable and collaboration-minded, he actively seeks research partnerships to push applied ML toward more private, efficient, and human-aligned systems.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Generative Models Privacy in AI Inference and Training Efficiency of Neural Networks, Doctor of Philosophy - PhD Generative Models Privacy in AI Inference and Training Efficiency of Neural Networks at KU LeuvenMaster's degree Autonomous Driving Information Technology Automobile, Master's degree Autonomous Driving Information Technology Automobile at Karlsruhe Institute of Technology (KIT)Bachelor's degree Mechanical Engineering and Automation, Bachelor's degree Mechanical Engineering and Automation at Beijing Institute of Technology
Chinese, German, English
Github Skills (38)
bug-reporting8
barrage8
expectation-maximization8
retrieval8
sentence-transformers7
sts7
clustering7
cosine-similarity6
task-automation6
bert6
benchmark6
nlp5
natural-language-processing5
huggingface-transformers5
text-classification5
Programming languages (1)
Github contributions (5)
JunyiZhu-AI/R-GAP
Oct 2020 - Feb 2021
R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]
Contributions:11 commits, 13 pushes, 2 branches in 3 months
JunyiZhu-AI/structured_noise
Feb 2021 - Feb 2021
Contributions:64 pushes, 1 branch in 7 days
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