Member Of Technical Staff at Machine Learning Department at CMU
Pittsburgh, Pennsylvania, United States
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Summary
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Brandon Trabucco is a Ph.D. candidate in Machine Learning at Carnegie Mellon University and a Member of Technical Staff at Thinking Machines Lab, focusing on multimodal data and agent systems. With a decade of experience spanning research roles at CMU, Berkeley AI Research, Intel Labs, and multiple internships at Amazon’s AGI Lab, he specializes in scalable learning mechanisms that go beyond reliance on human-curated data. His thesis work under Prof. Ruslan Salakhutdinov tackles foundational questions in scalable learning, blending theory and practical systems research. Trained in EECS at UC Berkeley, he brings strong engineering chops to research problems and a track record of shipping research through industrial collaborations. Outside academia, he’s a musician—an unexpected creative outlet that informs his interdisciplinary approach to multimodal AI.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS EECS, Bachelor of Science - BS EECS at University of California, Berkeley
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Carnegie Mellon University
High School Diploma, High School Diploma at St Helens High School
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Brandon Trabucco - Member Of Technical Staff at Machine Learning Department at CMU