Speaker Profile
M.D., Ph.D., VP Scientific & Medical Affairs, Molecular Health GmbH
Biography
Dr Armin Schneider has 20 years track record in leading roles in Biotech drug discovery and development and MD PhD from the University of Heidelberg, Germany. At Molecular Health, Armin pioneers the utilization of the company’s technology, Dataome® – a mighty clinical-molecular knowledge base of drugs, diseases and outcomes into machine learning applications and predictive algorithms to predict drug outcomes and R&D efficiency. He has authored over 150 publications and owns numerous patent families and has a strong background in neurology, pharmacology, molecular biology, and statistics, and specific interest in questions of applying advanced statistical methodology to drug development.
Session Abstract – PMWC 2019 Silicon Valley
Session Synopsis: The pharmaceutical industry is applying Active Learning in various areas which includes the integration of experiment and computational modeling, automation, big data analytics, and informatics. This session will focus on pharma preparations and applications of AI and Machine Learning across drug discovery and development – various examples will demonstrate how pharma is harnessing the opportunity of large data sets to predict and improve human translation in clinical studies.
