Phil Kay
Phil loves showing people how data analytics enables better science. His passion for this started with some big successes using statistical design of experiments as a development chemist at FujiFilm. Phil has a master’s degree in applied statistics and a master’s and PhD in chemistry. He is a chartered chemist and chair of the RSC process chemistry and technology interest group.
OpinionWhy understanding our foraging instinct is the key to using statistical tools
Your inner hunter-gatherer is stopping you solving problems
OpinionWe need to build the data that chemistry deserves - here’s how we can do it
Creating a purpose-built repository of standardised reaction data is a tall order, but the reward would be huge
OpinionLessons from a Nobel laureate teach us how to think better
In a world of AI, chemists need statistical thinking
ArticleIf you think data is the new oil, you’re thinking too crudely
The differences are more important than the similarities
ArticleChemistry needs the human element - here’s why
Automated R&D has huge potential, but we need to be kept in the loop
ArticleWhy the making stuff mindset doesn’t make sense
Changing the way you think about experiments will make you a better scientist
ArticleDigitalisation is the future of science, just ask a biologist
Biology has some life lessons for chemistry
ArticleYou don’t need coding to be a chemist
Writing your own software can be useful, but what matters is knowing how to use it