Jia Jingnan is a PhD student and applied AI researcher at Leiden University Medical Center with eight years of experience focused on deep learning for medical imaging and CT analysis. She combines a strong engineering foundation in Python, Linux, and PyTorch with domain expertise in medical image modalities and algorithm development. Her prior work as a graduate research assistant investigated adversarial and poisoning attacks on deep learning, giving her a practical appreciation for robustness and safety in clinical AI deployment. Holding advanced degrees in computer science and electrical engineering, she bridges theoretical research and hands-on implementation in clinical settings. Based in the Netherlands, she actively collaborates on projects that translate AI methods into reliable tools for radiology and diagnostics.
8 years of coding experience
1 year of employment as a software developer
学士, Engineering Physics/Applied Physics, 学士, Engineering Physics/Applied Physics at 太原理工大学 Taiyuan University of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Leiden University
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at Xidian University
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Jia Jingnan - PHD Student at Leiden University Medical Center