I am a Stanford CS PhD student advised by Fredrik Kjolstad , currently working on sparse data reorganization. My research interests broadly include domain-specific languages, compilers, and architectures for high-performance numerical computing, with an emphasis on visual computing applications. I am generously supported by the NSF GFRP and a Stanford School of Engineering fellowship.
I graduated with my bachelor’s (‘21) and master’s (‘22) from MIT, working under Jonathan Ragan-Kelley and Andrew Adams , where I worked on vector instruction selection, fixed-point computation, and bounds inference. I also interned with Andrew, Shoaib Kamil , and Maaz Bin Safeer Ahmad at Adobe Research in the summers of 2021 and 2022, on the same topics. Part of my undergraduate work on fixed-point computation was advised by Frédo Durand .
Much of my pre-PhD research was applied to the Halide compiler, and I remain somewhat active in the language’s development.