Rachel Ward

W. A. “Tex” Moncrief Distinguished Professor in Computational Engineering and Sciences—Data Science, and Professor of Mathematics, UT Austin.
Office: PMA 10.144; POB 5.114 Mail: rward@math.utexas.edu

Research interests: applied harmonic analysis, probability, optimization, mathematical data science.

Here is a short bio, and here is a CV (updated June 2020)

My papers can be found on my google scholar profile

I am thankful for my students and postdocs. If you are a UT student interested in working with me, please first read through my recent papers to make sure the topics and level of theory are a good fit; if so, come with a list a questions to ask me. We currently have an open position for a postdoc to work on randomized methods for solving linear systems.

I am fortunate to be on the editorial board of Information and Inference, SIAM Journal on Mathematics of Data Science, and to be a chair of the inaugural Mathematical and Scientific Machine Learning (MSML) conference.