Ioana Dumitriu holds a BA in Mathematics from New York University (1999) and a PhD in Applied Mathematics from the Massachusetts Institute of Technology (2003). She was a Miller Research Fellow at the University of California, Berkeley from 2003 to 2006 before becoming a regular faculty member in the Department of Mathematics at the University of Washington, Seattle, from 2006 to 2019. In 2019, she joined the University of California, San Diego (UCSD). Dumitriu's research encompasses various areas under the broad field of data science, with a focus on numerical linear algebra, scientific computing, stochastic eigenanalysis (also known as random matrix theory), and discrete probability. Her work includes applications in machine learning, particularly in clustering and community detection.