HatefMonajemi

Hatef Monajemi

Hatef Monajemi received his PhD degree from Stanford University in 2016. His PhD work concerns the study of the phase transition phenomenon in compressed sensing using deterministic sampling matrices, with an emphasis on anisotropic undersampling schemes, which arise in applications such as MRI and NMR Spectroscopy. During his PhD, Hatef in collaboration with his PhD adviser David L. Donoho has developed and used Clusterjob to run more than 40 million reproducible computational experiments on Stanford clusters for his dessertation. He hopes that Clusterjob can facilitate computational studies and data-driven discoveries in academia, and that other researchers will benefit from Clusterjob as much as he did. More information about Hatef can be found on his website.

DavidDonoho

David L. Donoho

David L. Donoho is a professor of statistics at Stanford University, where he is also the Anne T. and Robert M. Bass Professor in the Humanities and Sciences. His work includes the development of effective methods for the construction of low-dimensional representations for high-dimensional data problems (multiscale geometric analysis), developments of wavelets for denoising and compressed sensing. He is a pioneer of reproducible science publications. For more information, visit https://en.wikipedia.org/wiki/David_Donoho.