Biographical Info

• R-Groups: R-Ladies Global co-founder of & R-Ladies leadership team
• Interests: R and data science, datafication, data analysis, predictive modelling, data visualisation, data communication, mentoring, gender diversity in STEM
• Contact method: Twitter
• useR2016 , useR2017 & EARL London 2017
• Microsoft Most Valuable Professional
• Previously: Data Scientist at British Museum (Keynotes 1, 2, Talks 3,4,5,6) & Monitoring Evaluation Officer at Marine Stewardship Council
• Registered Scientist – Trained in ecologist and quantitative biologist
• Tech podcast – R-Ladies & Demystifying Data Science Talk