Dr. Rashmi Vinayak

Biography

Rashmi received her Ph.D. from UC Berkeley in 2016, where she worked on resource-efficient fault tolerance in big-data systems. Following her doctoral studies, she was a postdoctoral scholar at UC Berkeley's AMPLab and RISELab from 2016 to 2017. Her research broadly focuses on computer networked systems, taking a holistic approach to solving real-world problems from theoretical systems perspectives. She is interested in designing solutions rooted in fundamental theory and building systems that employ solutions derived from insights to advance the state-of-the-art. Recently, her work has focused on fault tolerance, resource efficiency, load balancing, and reducing latency in large-scale distributed data storage and caching systems. She has designed coding theory-based solutions that have been proved theoretically optimal and has built systems using these solutions, evaluating them on platforms like Facebook's data-analytics cluster and Amazon EC2, showing significant benefits over the state-of-the-art. For more details on her research, please visit her homepage: http://www.cs.cmu.edu/~rvinayak/

Research Interests

Courses