Keyi Liu received a B.S. in physics and mathematics from the College of William and Mary. He is currently completing a Ph.D. in physics from the University of Maryland working with Garnett Bryant. His theoretical work focuses on tensor network techniques for computational many-body physics, incorporating these techniques to develop models for transport through atom-scale dopant arrays used for quantum simulation. Additional work includes the development of realistic models for tight-binding theories of dopants in silicon, and machine learning to understand disorder effects on quantum plasmonics.