I am a first-year PhD student at Stanford University advised by Professor Matei Zaharia. I am a member of the FutureData Systems research group and the Stanford DAWN group. My research is
focused on building systems and infrastructure to accelerate machine learning workloads. I earned a BS in Computer Science from the University of Illinois at Urbana-Champaign (UIUC) in 2017 and an MS in Computer Science from Stanford in 2019 (dual concentration in Systems and Artifical Intelligence). At UIUC I worked with Professor Indranil Gupta in the Distributed Protocols Research Group.
- Si Liu, Peter Csaba Olveczky, Keshav Santhanam, Qi Wang, Indranil Gupta, and José
Meseguer, ROLA: A New Distributed Transaction Protocol and Its Formal Analysis, International Conference on Fundamental Approaches to Software Engineering, Springer, 2018, pp. 77-93.
- Deepak Narayanan, Keshav Santhanam, Amar Phanishayee, and Matei Zaharia, Efficient Scheduling of DNN Training on Multitenant Clusters, Workshop on MLOps Systems at MLSys 2020.
- Deepak Narayanan, Keshav Santhanam, Amar Phanishayee, and Matei Zaharia, Accelerating Deep Learning Workloads through Efficient Multi-Model Execution, Workshop on Systems for ML and Open Source Software at NeurIPS 2018.