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August 17–August 20, 2020
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Wednesday, August 19 • 13:45 - 14:20
Accelerating Drug Discovery by Competitive Cooperation Through Open Source - Bill Mulligan, Kubermatic & Camille Marini, Owkin

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Historically, pharmaceutical companies have kept their machine learning (ML) models and data strictly confidential. The EU/EFPIA IMI2 Joint Undertaking funded “MELLODDY” (Machine Learning Ledger Orchestration for Drug Discovery, Grant n° 831472) initiative, a 3 year 18.4M EUR effort, brings together 10 leading pharma companies and 7 tech partners to build a new collaborative ML platform that boosts drug discovery model development while addressing both security and privacy preservation concerns (including commercial confidentiality). Kubernetes provides the consistent computing infrastructure across companies ensuring that data owners maintain control while running the common ML software and sharing the resulting models. This project demonstrates the potential of Kubernetes to accelerate drug discovery and enable cooperative competition in IP-sensitive industries.



Camille Marini

VP of Engineering, Owkin
avatar for Bill Mulligan

Bill Mulligan

Kubernetes Advocate, Kubermatic

Wednesday August 19, 2020 13:45 - 14:20 CEST
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