Noémie Claret

Noémie is a first-year PhD student at Stanford ICME, working in collaboration with the LCLS at SLAC National Accelerator Laboratory. She works on high-throughput compression and signal processing algorithms for crystallography, and is co-advised by Eric Darve and Frederic Poitevin. She has a background in mathematics and her interests lie broadly at the intersection of statistics, optimization, and scientific machine learning.