Tyler Labonte is a PhD machine learning researcher at Georgia Tech with eight years of hands-on experience applying mathematical rigor to foundational deep learning problems. He has interned at top labs—including Microsoft Research, Google (working on Gemini-driven hardware-software code design), X, Sandia, and the Air Force Research Laboratory—focusing on multimodal reasoning and practical, ethical ML applications. A rare dual recipient as an undergraduate of both the DoD NDSEG and NSF Graduate Research Fellowships, he blends strong theoretical instincts with production-minded experimentation. Based in Atlanta, he pursues original research that bridges theory and real-world systems, often tackling underexplored mathematical questions in deep learning rather than incremental engineering tweaks.
9 years of coding experience
3 years of employment as a software developer
B.S., Applied and Computational Mathematics, B.S., Applied and Computational Mathematics at University of Southern California
Ph.D., Machine Learning, Ph.D., Machine Learning at Georgia Institute of Technology
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