Pre-Conference Workshop Day

Monday February 24, 2020

08:30 Registration and Welcome Coffee

09:00 Integration of Machine Learning Across the Value Chain

Machine learning has many faces and applications - there is real potential to transform the pharma value chain. But changing established processes in a traditional industry can be an uphill struggle. This workshop will provide the blueprint for successful translation of technologies from early stage R&D to later stage commercial - as well as guidelines to pick the right tech for your specific problems.

• Marry specific problems with a solution instead of a type of technology
• How to select which platform is right for each department
• Translate successful applications to work in later stage clinical trials

Ronald Dorenbos

Your Workshop Leader:

Ronald Dorenbos, Associate Director, Materials & Innovation, Takeda

As Head of Innovation Management and Scouting and as a member of Takeda’s Digital Strategy team Ronald helps Takeda with its technology and innovation strategy. Earlier, at the Life Science division of PA Consulting, Ronald led projects for some of the world’s top 10 pharmaceutical companies that included projects around strategy, commercialization and digital health and at his company BioFrontline he provided management, strategy and commercial advice to life sciences companies in the US, Europe and Asia.

After obtaining MAs in Biotechnology and Molecular Biology and a PhD in Pharmaceutical Biology at the University Medical Center Groningen in the Netherlands Ronald spent six years at Harvard studying Parkinson’s, Schizophrenia and the genetics of aggressive behavior, before making the transition to industry. As a consultant Ronald got involved in projects related to artificial intelligence and he has been following the field over the last 10 years. He is frequently invited to deliver presentations and keynotes related to AI in Pharma and Healthcare and has presented at numerous events internationally. He is also the founder of the LinkedIn groups ‘AI – Artificial Intelligence’, ‘Small Molecules’, ‘Boston Biotech’ and ‘Golden
Triangle Biotech’ that serve over 10,000 members.