Brendan Marsh
Background
In 2018, Brendan earned a master’s degree in applied mathematics and theoretical physics from the University of Cambridge through Part III of the mathematical tripos. During Part III, he worked with philosopher of physics Jeremy Butterfield, together writing a handful of papers on foundational quantum theory. In his undergraduate studies, he double majored in physics and mathematics with a minor in computer science at the University of Missouri. There, he conducted research in computer vision and single-molecule biophysics in the King Laboratory, where he designed the Hessian blob algorithm and constructed theoretical models for biomolecule imaging by atomic force microscopy. He has also engaged in summer research internships at the University of Goettingen in Germany, designing artificial neural networks to detect the Higgs boson in the ATLAS experiment, and at SRI International in California, designing a hyperspectral imaging device for rapid detection of tumor cells in blood samples. He received the 2015 Goldwater Scholarship and an NSF Graduate Research Fellowship. He later became a postdoc with Prof. Adam Kaufman at JILA.
Publications
2026
2025
Directly observing replica symmetry breaking in a vector quantum-optical spin glass
Highlighted “In Science Journals.”
2024
2023
2021
News coverage:
Stanford News: Adding sound to quantum simulations
APS Physics Magazine: A Humming Lattice of Cold Atoms
Enhancing associative memory recall and storage capacity using confocal cavity QED
Physical Review X 11, 021048 (2021)
News coverage:
APS Synopsis in Physics: A Computer Memory Based on Cold Atoms and Light
APS DAMOP Highlight: Atoms and Light Remember Better