Summary
Zj Lee is a Senior Solutions Architect focused on Healthcare and Life Sciences at NVIDIA, bringing nine years of experience at the interface of medical imaging, machine learning, and digital twin technology. With a PhD in Applied Mathematics and a background leading Women's Health AI research at GE Healthcare, he has driven development of deep learning models for 2D/3D x‑ray breast imaging, virtual clinical trials, and healthcare robotics applications. He combines strong research credentials—stochastic texture modeling and probabilistic model observers—with product-facing delivery and technical coaching across EMEA. Based in Paris, he is comfortable translating complex math and generative modeling into deployable clinical solutions and developer-facing architectures, often bridging R&D and engineering teams to scale validated AI in healthcare.
9 years of coding experience
8 years of employment as a software developer
Master of Science (M.Sc.), Signal and Image Processing, Master of Science (M.Sc.), Signal and Image Processing at École Supérieure d'Électricité
Bachelor's degree, Computer and Information Sciences, General, Bachelor's degree, Computer and Information Sciences, General at Beihang University
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Université Paris-Saclay
French, Chinese, English