R&D Data Academy Lead, GSK
Kate is R&D Data Academy Lead in Data & Computational Sciences, working to transform how we do R&D by applying data science to drug discovery and development. She is curious about the impact of growing data and analytics skills on scientific innovation and decision-making.
Interests: Iyengar yoga, reading sci-fi and hiking with her family and dog
Technical Interests: Data visualisation, organisational agility, data strategy
Driving enterprise change: Delivering a skills transformation at pace
Smart risk taking is becoming increasingly important for effective enterprise transformation. A key component is ensuring organisations have the understanding of how to drive key decisions with data and quantitative thinking. Harnesssing the power of the data & analytics (D&A) community through agile ways of working can accelerate this change.