Matthew D. Schwartz

Professor of Physics, Harvard University

I work on quantum field theory, particle physics, and machine learning. My research spans foundational questions in QFT—including the analytic structure of the S-matrix, factorization and resummation in effective field theories, and non-perturbative phenomena such as renormalons and vacuum stability—as well as precision calculations in collider physics, where my group develops new methods for jet substructure and extracts fundamental parameters like the strong coupling constant from data.

A major focus of my recent work is machine learning for physics. I am a member of IAIFI (the NSF Institute for Artificial Intelligence and Fundamental Interactions) and my group develops interpretable and unsupervised ML approaches for particle physics, from jet classification and anomaly detection to using neural networks to learn scattering amplitudes and optimize precision observables.

I am the author of Quantum Field Theory and the Standard Model (Cambridge University Press, 2014), a widely used graduate textbook. I am a member of Harvard's high energy theory group at the Center for the Fundamental Laws of Nature.