Summary
Michael Iuzzolino is a research scientist at Meta with nine years of experience building multimodal large language models for recommendation systems, combining deep learning research with practical deployment. He holds a PhD and MS in Computer Science from CU Boulder and a multidisciplinary BSc blending mathematics, neuroscience/cognitive science, and molecular/cell biology from the University of Arizona, reflecting a rare intersection of computational and biological training. His work spans industry and academia, including research roles at Google Brain, Microsoft Research, and collaborations on few-shot learning at Vector Institute, with a dissertation focused on the role of time in machine perception. Michael brings a strong experimental pedigree in real-time audio-visual and multiview perception systems alongside scalable ML methods for personalization. He is comfortable translating biological inspirations—such as massive parallelism—into novel neural architectures and production-ready models. Based in Bellevue, WA, he pairs rigorous theory with hands-on system building to advance multimodal, temporally aware AI for real-world recommendation challenges.
9 years of coding experience
6 years of employment as a software developer
The University of Arizona
Associates in Science; Associate of Arts; General Studies Assoc., Science, Associates in Science; Associate of Arts; General Studies Assoc., Science at Pima Community College
Tohoku University
Master's degree, Computer Science, Master's degree, Computer Science at University of Colorado Boulder
Spanish, Japanese, Chinese