I am a computer science PhD student at the University of Washington, advised by Luis Ceze and Mark Oskin.
My research interests are in new computer architecture and systems for virtual reality and other emerging graphics workloads.
In the past, I have designed hardware accelerators for VR video processing, near-data similarity search, and low-power computer vision.
Before grad school, I studied computer engineering and English literature at Columbia University.
More information: curriculum vitae, blog, email, etc.
LightDB, a database management system for VR video content, will appear at VLDB 2018. Check it out here!
Our paper on codesigning a similarity search hardware accelerator with die-stacked memory will appear at IPDPS 2018 this month!
The hardware-friendly bilateral solver
for the Madrona Prize!
Vignette: Perceptual Compression for Video Storage and Processing Systems.
LightDB: A DBMS for Virtual Reality.
Application Codesign of Near-Data Processing for Similarity Search.
Exploring Computation-Communication Tradeoffs in Camera Systems.
A Hardware-Friendly Bilateral Solver for Real-Time Virtual Reality Video.
Principles and Techniques of Schlieren Imaging Systems.
Columbia University Computer Science Technical Reports (2013).