Sofia Chen is the AI & Analytics Correspondent at Digital Pulse, where she covers the application of data science, predictive analytics, and machine learning in marketing. Sofia's career began in academic research, where she completed a PhD in Statistical Learning at Imperial College London, before transitioning into the marketing technology sector. She spent four years as a senior data scientist at a programmatic advertising platform, building attribution models and audience segmentation systems that processed billions of data points daily. This combination of rigorous academic training and hands-on industry experience gives Sofia a unique perspective on the promises and limitations of AI in marketing.
She is particularly interested in how organisations can move beyond superficial AI adoption to build genuine analytical capabilities that inform strategic decisions. Her writing for Digital Pulse is characterised by its clarity — she has a talent for making complex statistical and computational concepts accessible to marketing professionals without oversimplifying the underlying science. Sofia also contributes to the publication's coverage of A/B testing methodology, experimentation platforms, and the ethical dimensions of algorithmic decision-making in marketing.