Árpád Knap is a survey statistician who started his PhD in September 2018 at Eötvös Loránd University Faculty of Social Sciences. His supervisors are Ildikó Barna and Júlia Koltai. Árpád has been working at ELTE Department for Social Research Methodology on several projects with Ildikó Barna in the past three years. During these projects he has gained valuable experience in quantitative research methodology, survey design (both online and offline), data analysis and visualization, as well as writing research papers. He wrote his MSc thesis using automatized internet-based data collection techniques, which required – among other skills – knowledge in programming and the ability to use several Python packages, including those used to create interactive data visualization interfaces. Árpád has taught several courses at ELTE in the last two years, including Programming II and Quantitative Data Analysis II. His PhD research topic is the applicability of “big data” in the social sciences, with the main focus being on Natural Language Processing methodology for dealing with large amounts of poorly structured data.