Very broadly, I want to discover what scientific questions we can answer if computational performance were not an issue. To that end, I work on accelerating scientific computation on large-scale supercomputers. I am currently interested in scaling graph-representation learning, with applications to bioinformatics. 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 and write regularly for the Berkeley Science Review.
Ph.D. in Computer Science
B.S. in Computer Science, 2019