Fellow
Stanford University
2023
I am a Ph.D. candidate in Electrical Engineering at Stanford University, advised by Christos Kozyrakis. My research centers around co-designing computer systems and architectures to improve the scalability and efficiency of datacenter-scale applications such as machine learning. I am currently working on data storage and ingestion systems to manage training data in industry-scale machine learning pipelines. I received by B.S. in Electrical and Computer Engineering from Cornell University in 2018.