Research

I study the mathematics of how to approximate functions that are time-consuming to evaluate directly. This often happens for functions with large numbers of inputs. 

Our group uses sparse interpolation to construct surrogate models, which are significantly less expensive approximations of an underlying function, for use in computational chemistry. During my internship at ORNL, I added sparse trigonometric interpolation to the TASMANIAN package (summer 2018), as well as a dimensionally adaptive refinement algorithm (summer 2019). TASMANIAN is a robust sparse-grid toolkit written in C++, with interfaces for Python, MATLAB, and Fortran.