Chris Matthews
Renate Johansen
Terje Tingbø
Ben North
Ben holds the position of Director of Portfolio and Innovation Strategy at PHARMAQ, the aquaculture health business of Zoetis. Ben has worked for PHARMAQ since 2008 and held a variety of technical and commercial roles, including 7 years as the Country Manager of PHARMAQ’s UK business. In 2017 Ben moved across full time to PHARMAQ’s Oslo-based R&D organisation as R&D Portfolio Director, before taking on the current role in 2020, which is focused on delivering an overarching innovation strategy across the continuum of care for aquaculture health.
Before joining PHARMAQ, Ben worked as a post-doctorate researcher at the Stirling University, where he also undertook his PhD. The focus of Ben’s research was investigating the impact of husbandry factors such as stocking density and water quality on fish welfare. This research identified operational welfare indicators for fish in commercial aquaculture systems and generated welfare indices by combining a range of objective indicators. Ben also holds a BSc in Marine Biology, an MSc in Aquaculture and in 2018 completed an Executive MBA program at Warwick Business School.
Ludovic Tonnerre
Christok Kolias
Christos Kolias is a Principal and an Orange Expert at Orange Silicon Valley. He is a co-founder of NFV and the ETSI group and had led the formation of the ONF's Wireless & Mobile working group of which he was its first chair. He has been a frequent speaker on NFV, SDN, Edge Computing, SD-WAN and IoT. Christos holds a PhD in computer science from UCLA where he studied under Prof. L. Kleinrock.
Dave Barker
Suhas Mitra
Suhas Mitra is Director AIML Product Management and Marketing in Cadence Design Systems. His interests are in Deep Learning Hardware-Software co-design, Embedded Systems and Edge Computing. He holds a MS in Electrical & Computer Engineering and Masters in Business Administration. Currently he drives the Deep Learning Neural Accelerator (DNA) product line in Cadence Design Systems.
Andres Rodriguez
Andres Rodriguez is a Sr. Principal Engineer and AI Architect in the Data Platform Group at Intel Corporation where he designs deep learning solutions for Intel's customers and provides technical leadership across Intel for deep learning hardware and software products. He has 15 years of experience working in AI. Andres received a Ph.D. from Carnegie Mellon University for his research in machine learning. He was the lead instructor in the Coursera course An Introduction to Practical Deep Learning to over 20 thousand students. He has been an invited speaker at several AI events, including AI with the Best, ICML, CVPR, AI Frontiers Conference, Re-Work Deep Learning Summit, TWIML, Startup MLConf, Open Compute Platform Global Summit, AWS re:Invent, Baidu World, Baidu Cloud ABC Inspire Summit, Google Cloud OnAir Webinar, and several Intel events, as well as an invited lecturer at Carnegie Mellon University, Stanford University, and UC Berkeley.