Zsófia Rakovics is a statistician and sociologist working at the intersection of social research and data science. Her research journey spans precarity, social inequality, memory, and political public discourse, combining qualitative and quantitative approaches. After gaining industry experience as a data scientist at a company specializing in computer vision and machine learning, she returned to academia to pursue her PhD. Her doctoral research explored language polarization and change in online political discourse, using NLP, deep learning, and large language models to understand how political language evolves and polarizes societies. In recent years, her work has increasingly centered on computational social science, natural language processing, and emerging AI-driven methods.