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 Dr. Udit Gupta and Dr. G. Edward Suh. I am a computer architecture and systems researcher by trade. My research primarily focuses on efficient machine learning systems and security, with a recent emphasis on enhancing inference pipelines for Retrieval Augmented Generation LLMs and compound AI systems.

Before Cornell, I earned a B.S. in Computer Engineering from Northeastern University, where I was advised by Dr. David Kaeli at the NUCAR Labaratory. At NUCAR I developed computer architecture simulators for HPC and security research. While at Northeastern, I was honored with induction into the Huntington 100, which recognizes students who exemplify the university’s values and mission.

Through Northeastern’s co-op program, I had two wonderful co-ops at Portal Instruments (Embedded Systems Engineering) and AMD (GPU Architecture Modeling).