A. Martina Neuman joins as postdoc in a project led by Philipp Petersen. Martina received a PhD in Harmonic Analysis from UC Berkeley and was then affiliated with Michigan State University. Martina's current work on data science combines Shannon sampling principles, approximation theory, compressed sensing, and metric embedding theory.
