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Jonny Hancox Deep Learning Solution Architect, NVIDIA Bio: Jonny is a Deep Learning Solution Architect within the Healthcare team at NVIDIA. He is one of many NVIDIANs helping the research and clinical community to achieve their AI goals and get the most value out of the platforms that NVIDIA provide. This work is heavily focussed on medical imaging and genomics but one of Jonny’s focus areas is computational pathology. Prior to joining NVIDIA, Jonny worked in the Health & Life Sciences team at Intel. Most of Jonny’s career has been spent writing software for Healthcare and Public Sector applications in the UK. |
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Dr. Raghavan Venugopal Director of Imaging and Algorithms at Roche Bio: Raghavan is currently the Head of Imaging and Algorithms at Roche Tissue Diagnostics. He is responsible for a team of Image Analysis Scientists and Software Engineers that build quantitative algorithms using AI techniques to build commercial DP algorithms for clinical use and also help various internal Roche collaborators/partners create new assays, drugs and conduct research. Prior to joining Roche, Raghavan was the Director of Engineering at First Insight, a Pittsburgh based company that uses consumer data and predictive data analytics to inform retailers on what products will do well in the market place and how to price them accordingly. Prior to that, he was the Vice President of Product Management at Inspirata Inc. Raghavan also worked at GE Healthcare (Omnyx LLC) as a Senior Software Manager for Digital Pathology Solutions. He has a combined 20 years’ experience in Digital Pathology, Cardiovascular applications, Toll systems, Semiconductors and Retail. Raghavan has an MS in Electrical Engineering from Clemson University and Bachelors in Electronics Engineering from University of Mumbai. |
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Prof. Xu Jun Nanjing University of Information Science & Technology Bio: Dr. Jun Xu is currently a professor at School of Automation, Nanjing University of Information Science & Technology, China. He received his M.S. degree in applied mathematics from the University of Electronic Science and Technology of China, Chengdu, China, in 2004, and the Ph.D. degree in control science and engineering from Zhejiang University, Hangzhou, China, in 2007. From 2008 to 2011, he had been a postdoctoral associate and research assistant at Dept. of Biomedical Engineering, Rutgers University, USA. He had been a Visiting Professor at Dept. of Biomedical Engineering, Case Western Reserve University, USA. In recent years, he has devoted to develop and apply novel quantitative image analysis, computer vision, pattern recognition & machine learning, and segmentation tools for disease diagnosis and prognosis from digital pathology tissue and radiological images. The goal is the utility of these tools in studying (a) disease identification and sub-typing, (b) disease quantification and characterization, (c) prediction of prognosis and treatment response. |
