DEEP LEARNING AND ARTIFICIAL INTELLIGENCE WITH GPU COMPUTING DRIVING HEALTHCARE

Professor Daniel Rueckert is Head of the Department of Computing at Imperial College London where he also leads the Biomedical Image Analysis group. He received a Masters degree in Computer Science from the Technical University Berlin and a Ph.D. in Computer Science from Imperial College London. His research interests include the development of algorithms for image acquisition, image analysis and image interpretation as well as machine learning for the extraction of clinically useful information from medical images. He is a co-founder of IXICO which uses innovative technologies to help those involved in researching and treating serious diseases to make rapid decisions and improve patient outcomes. He has published more than 400 journal and conference articles which have attracted over 25,000 citations and has supervised more than 35 PhD students. Professor Rueckert is an associate editor of IEEE Transactions on Medical Imaging, a member of the editorial board of Medical Image Analysis, Image & Vision Computing and a referee for a number of international medical imaging journals and conferences. He has served as a member of organising and programme committees at numerous conferences, e.g. General Co-chair of MMBIA 2006 and FIMH 2013 as well as Programme Co-Chair of MICCAI 2009, ISBI 2012 and WBIR 2012. Professor Rueckert has been elected Fellow of the MICCAI society (2014), Fellow of IEEE (2015) and Fellow of the Royal Academy of Engineering (2015).

Steve Gardner PhD, CEO RowAnalytics. Steve has over 25 years' experience in building world-class teams, products and companies. He has raised over $100M of venture funding in the UK, EU and USA to develop and market several highly innovative and commercially successful products in the life science, healthcare and food industries. Steve was the Global Director of Research Informatics for Astra. He specialises in semantic data integration, semantic search and complex data analytics for life science, healthcare and clinical decision support. He has developed world-leading genomics, digital health, smart IoT and informatics technologies, including several patented inventions. He was heavily involved in developing some of the core informatics systems used by major genomics companies during the initial Human Genome project and has worked extensively with major pharma companies on over 25 drug discovery and safety projects. Steve is an Advisory Council member for Breast Cancer Now and the UKCRC Tissue Coordination Centre. He works with disease charities such as the Motor Neurone Disease (ALS) Association and Cystic Fibrosis Trust on tissue banking, digital health and clinical decision support, and is a member of the International Society of Digital Medicine. Steve is also a Global Advisory Board member for Astia (astia.org), a global network that has helped 300 women-led high-growth businesses raise over $1.8B over the last decade. Astia has over 5,000 members in senior tech, life science/health, retail and investment companies. He has taught high-growth entrepreneurship to hundreds of start-up companies in Silicon Valley, New York, London, Edinburgh and Berlin and serves on Astia's C-Suite Expert Sift panels reviewing start-up investment pitches.

Mark-Jan Harte is founder and CEO of Aidence. He has more than 20 years experience in Computer Science and entrepreneurship.

Kaisa Helminen, is the CEO of Fimmic. She has a strong background in the life science sector where she has gained more than 16 years of experience in the global business. Since 2014, she has led Fimmic, a spin-off company from the University of Helsinki. Fimmic's WebMicroscope Software Platform solves challenges in tissue and cell diagnostics by using state-of-the-art deep learning technology and cloud computing. Kaisa holds a M.Sc. degree in Biochemistry from the University of Helsinki, Finland.

Dean Plumbley is Chemoinformatics data scientist at BenevolentAI.

Max is a data scientist and engineer specializing in deep learning and its applications, who currently works as a Deep Learning Engineer at Skymind. He is the author and maintainer of several python packages, including elephas, a distributed deep learning library using Spark. His open source footprint includes contributions to many popular machine learning libraries, such as keras, deeplearning4j and hyperopt. He holds a PhD in algebraic geometry from University of Hamburg.

Kamil was born to a family of medical doctors. Inspired by the first edition of Feynman's lectures on physics, Kamil decided to pursue a purely scientific path, a deed considered as a rebellious act by his parents, given the medical traditions in the family. The passion for applied physics and computing were instrumental in getting the first peer-reviewed paper accepted, "Seeing and Recognising Objects as Physical Process - Practical and Theoretical Use of Artificial Neural Networks" at the age of 18. The aforementioned article, recognised by the Polish Academy of Sciences, won Kamil an exam-free admission to University of Wroclaw, where he conduced personalised research in the area of computational biophysics with the specialisation in numerical modelling of proteins. Shortly after, followed the undergraduate research at Cambridge University with the prestigious Bill Gates foundation scholarship, and the admittance to an elite master degree programme, "Top Master in Bimolecular Sciences", at University of Groningen, the Netherlands. Working under the watchful eye of researchers in the Biotechnology Laboratory of Groningen Bimolecular Sciences Institute (GBB), Kamil developed his first industrial-scale numerical models, which have direct implications in the production of an antibiotic: penicillin. His curiosity and passion for high performance computing led him to the laboratory of Molecular Dynamics and Nuclear Magnetic Resonance Spectroscopy (NMR) where he begun his doctoral studies in computational biophysics. Tutored by Prof. Frans A.A. Mulder, Kamil developed highly cited tools and relational database used to characterise a perplexing class of intrinsically disordered proteins (IDPs), directly implicated in neurodegenerative disorders, including "mad cow" disease, and Alzheimer's.

Dr. Stefanos Apostolopoulos is the Co-Founder and Technical Director of RetinAI. He holds a PhD in Biomedical Engineering with a focus on machine learning and medical imaging in ophthalmology from the University of Bern. He has more than 11 years of experience working in electrical engineering and computer sciences and is the creator of OpenTK, a fast, low-level C# wrapper for OpenGL and OpenAL that can be used standalone or inside a GUI on Windows, Linux, Mac, Android and iOS. During his life he has worked on several projects ranging from pure software design (OpenTK) to Virtual Reality, hardware and software design for parallel computing in medical devices, such as Optical Coherence Tomography (OCT), and more recently: machine learning and deep learning.

Joerg Aumueller is the Global Product Manager, Artificial Intelligence, at Siemens Healthineers.