Hello!

I'm Michael! I am an Electrical and Computer Engineering Ph.D. student at Cornell University where I am a researcher at the Cornell Computer Systems Laboratory where I am co-advised by Dr. Udit Gupta and Dr. Edward Suh. My research interests include computer architecture and computer systems, with a focus on designing efficient systems for machine learning as well as security and privacy. My recent research has focused on enhancing the inference pipelines for Retrieval Augmented Generation LLMs and compound AI systems. I am grateful to have my research supported through the National Science Foundation Graduate Research Fellowship.

Prior to joining Cornell, I earned my Bachelor of Science in Computer Engineering from Northeastern University where I was a researcher at the Northeastern University Computer Architecture Research Laboratory where I was advised by Dr. David Kaeli. At NUCAR I had the opportunity to conduct research involving the development of computer architecture simulators for security and high performance computing research.

Additionally, through Northeastern's co-op program I had two wonderful co-ops at Portal Instruments and Advanced Micro Devices. At Portal I worked on embedded systems for their drug delivery biotechnology and at AMD I developed software tools for their graphics pipeline on next-generation GPU simulators.

Outside of the lab and classroom, I can often be found spending time with my friends and family as well as pursuing some of my hobbies, such as playing tennis recreationally, going for a run, and learning musical pieces on the piano. I am also an avid supporter of the Boston Bruins.