I’m a member of the Systems Research Group (Redmond). My research interests include computer architecture, distributed systems, and networking. I’m particularly interested in problems around the hardware/software interface, where software may be made more efficient by taking advantage of the properties of hardware, or where hardware may be designed to provide more opportunities for software.
My current work focuses on making the training process for deep neural networks faster and more efficient in the cloud.
I received my PhD from the University of Washington School of Computer Science and Engineering in 2014, and my BS from Pacific Lutheran University in 2000. I joined Microsoft Research in 2016.