Generate a tailored SOP for Dr. Martha Grover. Improve your application with a focused, well-structured draft.
Dr. Martha Grover’s research activities in process systems engineering focus on understanding macromolecular organization and the emergence of biological function. Discrete atoms and molecules interact to form macromolecules and larger mesoscale assemblies, ultimately yielding macroscopic structures and properties. A quantitative relationship between nanoscale discrete interactions and macroscale properties is essential for the design, optimization, and control of systems; however, applications and predictive models often exist in a computationally intractable space. The Grover group is dedicated to developing tractable and practical approaches to engineering macroscale behavior with explicit consideration of molecular and atomic scale interactions. The group focuses on applications involving kinetics of self-assembly, specifically using methods from non-equilibrium statistical mechanics to provide closed form solutions. General approaches employed include stochastic modeling, model reduction, machine learning, experimental design, robust parameter design, and estimation.
Department of Computer Science: GRE scores are optional for Fall 2026.