Broadly, I am interested in designing algorithms that leverage high-performance systems, particularly heterogeneous systems. I am currently interested in scaling graph-representation learning in distributed environments. In the past, I worked on accelerating graph analytics on GPUs. My work is supported by the NSF Fellowship.
I am also passionate about science communication. To that end, I write for the Berkeley Science Review.
Ph.D. in Computer Science
B.S. in Computer Science, 2019