Brief Bio

I’m an Assistant Professor in the Department of Computer Science at Cornell University. I received my PhD in Computer Science from UC Berkeley. I work in the field of high-performance computing (HPC) for large-scale computational sciences and lead the Cornell HPC group. I’m interested in developing algorithms and software infrastructures on parallel machines to speed up data processing without sacrificing programming productivity, and to make high-performance computing more accessible. I’m a big fan of sparse linear algebra and believe in sparse linear algebra as a computational abstraction for tackling large-scale computational challenges.

I received the 2024 SIAG/Supercomputing Early Career Prize, the 2023 ISSNAF Young Investigator Mario Gerla Award, and the 2020 SIGHPC Computational & Data Science Fellowship.

I’m an Affiliate Faculty in the Applied Math and Computational Sciences Division (Performance and Algorithms Group) at Lawrence Berkeley National Laboratory and a Graduate Field Faculty in the Department of Computational Biology and the Center for Applied Math at Cornell.

Publications, Talks, Teaching

For a complete list of publications, talks, and teaching information, please see my CV (I’m fairly good at keeping it up to date) or my Google Scholar account. The PDFs of most of my articles can be found on arXiv.

If you’re interested in course or research talk slides, please feel free to email me. I’ll add them here eventually.

Recent Updates

4/24/2025 I’m very pleased to announce that our NSF proposal “ACED: Fast and Scalable Whole Genome Analysis on Emerging Hardware Technologies” was awarded. This project, conducted in collaboration with Professor April Wei’s Lab, will address major computational challenges in population genetics through parallel computation, sparse linear algebra, and new hardware technologies.