Hello! I'm Michael.

I am an Electrical and Computer Engineering Ph.D. student at Cornell University and a researcher in the Cornell Computer Systems Laboratory, co-advised by Professor Udit Gupta and Professor G. Edward Suh.

My current research interests are in the areas of computer architecture and computer systems for efficient machine learning. Recently, I have focused on improving inference pipelines for Retrieval-Augmented Generation (RAG) and Agentic AI systems.

Before Cornell, I earned a B.S. in Computer Engineering from Northeastern University, where I was advised by Professor David Kaeli at the NUCAR Laboratory. At NUCAR, I helped develop several open source computer architecture simulators that are used for High Performance Computing (HPC) and security research.