We research Data Systems for Data Science (Ds²). Our aim is to explore and build better systems software to sustain the requirements of next-generation data-intensive applications. We are interested in addressing challenges existing in real-world distributed and storage systems. Our research is driven by the complexities of modern data-intensive computer systems, and the need for more efficient and flexible approaches to manage such complexities. We aim for innovation in systems technologies that range from large-scale distributed systems to cross-layer software-hardware co-design.
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Research Areas
Artificial Intelligence and Machine Learning
Computational Sciences
Faculty
