Tyler LaBonte

Ph.D. Student - Machine Learning


  • Ph.D. Machine Learning (Expected 2026), Georgia Institute of Technology


I am a first-year PhD student in Machine Learning at the Georgia Institute of Technology advised by Jake Abernethy and Vidya Muthukumar. I am also a Machine Learning Research Intern at Microsoft Research advised by Neel Joshi. My work is generously supported by the DoD NDSEG Fellowship. I use theory to develop and understand large-scale machine learning models which can be deployed in high-consequence applications. My current focus is optimization and generalization in deep learning, where I seek to reconcile theoretical understanding with empirical phenomena. I received my BS in Applied and Computational Mathematics at the University of Southern California advised by Shaddin Dughmi, where I was a Trustee Scholar and Viterbi Fellow. My senior thesis in convex optimization received the USC Discovery Scholar distinction for exemplary research. During my undergraduate, I was a Machine Learning Research Intern at Google X and Sandia National Laboratories.