Describe your career to date
I am a fully qualified medical doctor who trained in London, England before embarking on advanced studies in computer science. I spent three years at Babylon Health developing groundbreaking AI applications for healthcare, including telehealth and health assessments. I now lead the data science for R&D at Haleon, the world’s largest consumer healthcare company. I look to develop novel applications for the use of data science to help people with their everyday health.
Tell us about the data and analytics resources you are responsible for
I manage four squads and five direct reports. The squads I look after include the natural language processing guild, flu tracking, R&D and leading the AI ethics workstreams.
What challenges do you see for data in the year ahead that will have an impact on your organization and on the industry as a whole?
There will be two challenges ahead. Access to quality, useful data that has the ability to effect people’s everyday health will be one challenge we will look to solve. In addition, understanding data bias in everyday health and gender gaps will be another.
Have you set out a vision for data? If so, what is it aiming for and does it embrace the whole organization or just the data function?
At Haleon, we want to keep people healthier for longer, using trusted science and deep human understanding. As the principal data scientist for R&D it is my job to use AI to its potential to aid people in their everyday health.
Have you been able to fix the data foundations of your organization, particularly with regard to data quality?
We have been able to fix data foundations, by working closely with stakeholders to show them the value of good quality data, and in addition, being able to enact data science projects using this data which drives value and efficient decision making.
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