Sara Pollock graduated in 2007 with a BS in Applied Mathematics from UNM  and a minor in Physics. She worked with former UNM Mathematics and Statistics Department  Professor Vageli Coutsias.  She went on to receive a MS from the University of Washington in 2008 and her Ph.D. in Mathematics with specialization in Computational Science (CSME) , from  University of California, San Diego, La Jolla, CA, in 2012,  under the supervision of Michael Holst. For a few years she was a postdoc and Visiting Assistant Professor at UC San Diego and Texas A&M,  then an Assistant Professor at Wright State University, and since 2018 she is an Assistant Professor at the University of Florida.  Her research interests include design and analysis of numerical methods for nonlinear partial differential equations, multiscale methods for linear and nonlinear problems, nonlinear solvers and acceleration methods, extrapolation methods, discrete comparison principles and uniqueness of solutions, adaptive finite element methods, adaptive regularization, goal oriented methods, inverse-kinematics. Sara is a recipient of a 2021 NSF CAREER titled "Extrapolation Methods for Matrix and Tensor Eigenvalue Problems". This is a great achievement  and we are very proud of Sara's academic accomplishments! Congratulations!