Scott is an Executive Director leading the High-Throughput Biology (HTB) team in the Department of Discovery Sciences within Novartis Biomedical Research (NBR) in Cambridge. The HTB team deploys automation and assay technologies to scale Target and Hit Discovery projects and run HTS screening campaigns supporting all disease areas throughout NBR in Cambridge. Scott has been at Novartis for over 12 years with a PhD in Biochemistry and Cell-biology and has led several Drug Discovery programs as well as efforts to develop novel screening and assay platforms during his time at Novartis.
Non-standardised data generation and capture workflows often hinder efforts to apply machine learning in small molecule optimization. In this case study, Scott Busby shares how Novartis is systematically addressing these challenges to enable more consistent, machine-readable lab data.
Attendees will gain insights into:
• How Novartis is improving data standardisation to unlock AI and machine learning potential in drug discovery.
• Key organisational and technical hurdles in transforming lab-based data generation.
• Lessons learned from piloting an autonomous mobile robot (AMR) for research lab operations.
• Practical steps to advance towards automation and smarter data capture in scientific environments.
Check out the incredible speaker line-up to see who will be joining Scott.
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