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The Laboratory of Theory and Data Analysis Applications (DATA) at EPFL focuses on research and teaching at the intersection of systems, programming languages, and theory. They specialize in database systems and large-scale data analysis, with a current emphasis on building efficient and scalable massively parallel real-time analytics engines. On the theoretical side, they delve into the complexity and expressive power of declarative and domain-specific languages, as well as the algebraic foundations of databases and query languages. Their work includes projects on agent-based simulations, engineered languages, complexity theory, logic, and queries, incremental and online computation, compilers meet databases, analytics, machine learning, managing uncertainty, and scalable and massively parallel query processing.