Adrianna Gillman

Gillman's research involves the design of efficient and robust PDE solvers.  This works includes the design of fast direct solvers for boundary integral equation, the design of novel spectral discretizations, and other fast solvers.  Her research specialties include scattering, imaging, and fluid simulations.  The algorithms she develops allows users to simulate physical phenomena on a desktop computer (or local cluster) that is regularly shipped out to super computer.  Recently, along with collaborators, Gillman released a randomized linear algebra package (librla) that runs natively in Python, Matlab and Julia.  This package is efficient, robust and offers more flexibility to the user than other related packages.

Gillman's work has been funded by the NSF, industrial contracts and several international foundations.  She received this highly competitive Sloan Research Fellowship for the period of 2016–2018 in the field of Mathematics.