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.

Daguang Xu is now a research manager at AI-Infra of NVIDIA. He is leading a research team in healthcare AI, focusing on developing world-class machine learning and deep learning-based methods to solve the challenging problems in medical domain. His current research interest includes but not limited to medical imaging analysis, EHR analysis, computer aided diagnosis, deep learning, pattern recognition and computer vision, etc.

Personal webpage: http://daguangxu.net/

Andriy Myronenko is a senior research scientist at NVIDIA. His research interests include computer vision, deep learning and medical image analysis. At NVIDIA, his focus is on innovative AI algorithms for medical imaging applications, such as 3D MRI/CT organ and tumor segmentation. He also works on enabling AI technologies to be a part of clinical workflow  through collaborations with hospitals, including UCSF and Stanford. In 2018, he won the first place in the largest international challenge of 3D MRI brain tumor segmentation (BraTS).  

Holger Roth, a Principal Federated Learning Scientist at NVIDIA, specializes in developing distributed and collaborative software and models for various industries using federated learning and analytics. He has been exploring the topic both from theoretical and practical standpoints. During the COVID-19 pandemic, he led the experimentation of a federated learning study involving twenty hospitals around the globe to train more generalizable models for predicting clinical outcomes in symptomatic patients.

My main fields of interest are computer vision and machine learning, focusing on compositional generalization from few or zero examples and reasoning across different data modalities (like natural-language, images and action). Recently, I have focused on integrating these ideas, with the emergence of generative and discriminative vision-and-language foundation models.

I obtained my Ph.D. under the guidance of Prof. Gal Chechik at Bar-Ilan University. My M.Sc. and B.Sc. are in Electrical Engineering from the Technion, Israel Institute of Technology.