We are a research team of Data Science and Computer Science at the University of Virginia.
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.
Our current efforts are focused on: (1) improving serverless computing using a full-stack approach spanning applications, middleware, and lower-level OS/hardware (watch this Youtube video summarizing our recent focus on serverless computing); and (2) building better (computing and storage) systems for distributed machine learning.
We are committed to training the next-gen of data systems researchers and developers. We are seeking Ph.D. students who are passionate about solving practical challenging problems in modern datacenter applications & systems. We are also open to working with Masters and undergrad students.Lab Members Our Research