Data Analytics Group

Data Analytics Workflow

Our research addresses foundations of data analytics for complex noisy, time-stamped, and high-dimensional data. We develop new data analytics and statistical learning techniques, and apply them in the context of software engineering, information system and computational social science. Our approach is quantitative, data-driven and interdisciplinary, combining methods from computer science, graph theory, statistics, and theoretical physics.