Lucas Brady is a theoretical physicist in quantum information science. His research has focused on quantum algorithms, specifically Quantum Adiabatic Optimization. He has worked tunneling in the context of adiabatic computing and diabatic transitions. He has also worked on simulating quantum adiabatic evolution with path-integral Monte-Carlo. He is currently interested in studying adiabatic algorithms and other Hamiltonian algorithms in the context of achieving useful quantum computational advantage. Lucas received his doctorate in physics from the University of California, Santa Barbara.