Machine Learning in Bioprocess Development: Where We Are and Where We Could Go

Machine Learning is believed to be a game changer for industry, especially by big Pharma as reflected by significant investments. Starting from an introduction to machine learning, this contribution outlines the current machine learning status for process development with examples, provides future directions towards more global high-value machine learning centric development, concepts to engage people in the digital evolution and ideas for machine learning centric business models. Presented by Rui Portela, Senior Data Scientist, GlaxoSmithKline Vaccines Rui Portela works as Senior Data Scientist at Global Data Analytics and Innovation group in Technical R&D of GSK Biologicals, Belgium. He is a molecular and cell biologist, with a MSc in biotechnology from the New University of Lisbon (UNL) and PhD in Bioengineering Systems (MIT-Portugal program – UNL). Previously, Rui worked on model based bioprocess optimization at GSK and IBET as research scientist, applying metabolic network analysis, PAT, simulation of molecular processes and hybrid modeling methods to enable more efficient process operation/design. And Klaus Mauch, CEO at Insilico Biotechnology AG Klaus Mauch is one of Insilico’s co-founders and became managing director in 2004 and CEO in 2006. In his previous role as CTO, he was responsible for the design and development of Insilico’s modelling and simulation platform where he established novel methods for the computer-aided construction of cellular networks. Before that, he gained extensive experience in metabolic engineering and applied systems biology as a group leader at the Institute of Biochemical Engineering, University of Stuttgart. Klaus is a member of the Advisory Board of the Division Systems Biology and Synthetic Biology of DECHEMA, board member of the Industrial Association White Biotechnology (IWBio), and board member of the Association of German Biotechnology Companies (VBU).