I design better hardware-software abstractions through research in programming languages and computer architecture. Much of my work is on approximate computing: the idea that computers can be more efficient if they are allowed to be imperfect. To help programmers trade off accuracy for efficiency, we need new languages, tools, processors, accelerators, memories, and compilers.
I am an assistant professor in the Department of Computer Science at Cornell University, where I am also part of the Computer Systems Laboratory. I graduated from the University of Washington in 2015.
- 2017. "Let's Fix OpenGL." Paper presented at Summit on Advances on Programming Languages (SNAPL ), May .
- 2015. "Hardware-Software Co-Design: Not Just a Cliche." Paper presented at In SNAPL .
Selected Awards and Honors
- Google Faculty Research Award 2016
- BS (Computer Science), Harvey Mudd College, 2009
- Ph D (Computer Science and Engineering), University of Washington, 2015