I am broadly interested in building low-latency systems: improving software performance by co-designing with application semantics and hardware.

My recent work focuses on software-defined memory systems to improve datacenter resource efficiency.

I am a Ph.D. candidate at Brown University, advised by Malte Schwarzkopf.

Also, I was student researcher at SystemResearch@Google.

I also worked on software & hardware co-design for MLSys training/serving, from FPGA-accelerated storage, network-switches, to stream query processing.

I like theory. I created and taught a course on algorithmic problem solving during 2021-2023 at Boston University (as an extension of the ACM ICPC team and SIAM chapter that I founded).

I had lots of fun building HPC systems for cluster competitions during my undergrad, and leading the Massachusetts Green Team (BU, NEU, MIT). media coverage: (1, 2)