My research interests are to understand how the complexity of large systems can be modeled with relatively few physically relevant parameters. I received my PhD at University of California, Berkeley where I studied cluster theories of gases to understand the liquid-vapor phase transition of atomic nuclei. Currently, I am researching the coarse-grained potentials used to model macromolecules in solution and how they can be parameterized from their physical properties. Improving these potentials will lead to more reliable models of macromolecule aggregation.

E: peter.lake@colostate.edu