Nathan Nichols is a graduate student of materials science at the University of Vermont. His research focuses on development of high performance computational algorithms to explore the field of condensed matter physics. Special interests include continuous space quantum Monte Carlo algorithms, analytic continuation of imaginary-time correlation functions, exotic phases in low dimensional systems (especially strained graphene and nanoporous environments), and using evolutionary computation and machine learning approaches for the quantum many-body problem. Check out his GitHub and code.delmaestro.org for publicly available samples of his code.