Computer architecture, machine learning systems, programming languages, energy-efficient computing, molecular storage and computing.
Design, implementation, and analysis of high-performance computing and communication systems; data-intensive discovery (eScience); information technology and public policy
Kendall Lowrey works with Sham Kakade at the intersection of intelligent control and machine learning for robotics applications. His recent work attempts to use complexity as an invariant to automatically discover abstractions in complex dynamics. He received his Ph.D. from the University of Washington in 2019.
Graduate Students (CSE)
Operating systems, Web services, file systems.