John Kumar

AstraZeneca is finding new and innovative ways to use AI to help solve some of the biggest challenges facing the pharmaceutical industry today. To become better, faster, and cheaper in drug discovery and development, we believe in our AI approaches at AstraZeneca to transform R&D. Please join our session to get an overview of some of the real use-cases where AI is having a genuine impact across the R&D value chain:

• Machine learning to predict compound properties to minimize the number of compounds made and tested
• Methods to identify and improve the safety profile of new drugs as well as reduce the costs and time to bring these to the clinic
• AI approaches for discovering patients responding better to treatment
• Designing Molecules using Recurrent Neural Networks and Reinforcement Learning

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John Kumar is an engineer and data scientist at AstraZeneca. His work is focused on the problem of training and serving machine learning models at scale with portable solutions using a combination of on-premises and commercial cloud resources.Robin joined AstraZeneca 15 years ago working in IT across R&D incl. late-stage development areas Clinical and Regulatory, and the past 5 years within Early Science. Robin has held various positions incl. developer, architect, project manager, and, now, IT lead for global labs, early science, and Gothenburg at AstraZeneca.