Shoshi Reich’s research at the cutting edge of climate science combines her love of applied mathematics with her drive to make an impact in understanding our planet. A fourth year graduate student at the Oden Institute for Computational Engineering and Science, Shoshi is part of the Computational Research in Ice and Ocean Systems Group (CRIOS), working on innovative ways to model and understand Earth’s oceans.
Her journey into computational science was not a straight path. “Like most 18-year-olds, I didn’t really know what I wanted to do,” she reflects. Initially pursuing environmental engineering as an undergraduate at Northwestern University, she later pivoted to applied mathematics, drawn by both its rigor and the foundational tools it offered. “I missed the more theoretical side of things,” Shoshi admits. It wasn’t until she discovered climate modeling—a field where applied mathematics meets climate science—that everything clicked.
Now, Shoshi’s research focuses on data assimilation and reduced-order modeling. One of her current projects assimilates high-resolution satellite data into global ocean models. To address this, she’s also developing reduced-order models to make these simulations more efficient. “It allows us to ask ‘what-if’ questions, like the climate change if the winds change slightly, how does that affect ocean circulation” she adds.