Dr. Can Zhao has been an Applied Research Scientist at NVIDIA focusing on deep learning for medical imaging since 2019. She specializes in deep learning based medical image synthesis. 

Can received her Bachelor degree from Tsinghua University in 2013, majored in semiconductor physics. She then shifted interests to medical imaging, worked with Dr. Jerry Prince and received Ph.D. in Electrical and Computer Engineering from Johns Hopkins University in 2021. 

Wenqi Li is a senior applied research scientist at NVIDIA, focusing on computer vision and machine learning techniques for medical image analysis. Wenqi received his Ph.D. in applied computing from The University of Dundee (Scotland, UK) in 2015.

Personal webpage: https://wyli1072.appspot.com/

Ziyue Xu joined NVIDIA as a Senior Scientist in 2018, before which he was a Staff Scientist and Lab Manager at National Institutes of Health. His research interests lie in the area of image analysis and computer vision with applications in biomedical and clinical imaging using shape modeling, graph methods, and machine learning. He has been working on medical AI for the past several years along with fellow researchers and clinicians.

Dr. Dong Yang is an applied research scientist at NVIDIA. He specializes in medical image processing, and is currently working on deep learning methods to solve medical imaging problems, with the goal of improving the effectiveness of clinical workflows. His research interests also include machine learning and reinforcement learning. One of his current projects utilizes neural architecture search in 3D medical image processing.