Research AreasMathematics of Information, Data, and Signals Discrete Probability Stochastic Eigenanalysis Scientific Computing Numerical Linear Algebra Applications in Machine Learning
Ph.D., Mathematics, Massachusetts Institute of Technology, 2003
Ioana Dumitriu holds a BA in Mathematics from New York University (1999) and a PhD in Applied Mathematics from Massachusetts Institute of Technology (2003). Following a Miller Research Fellowship at University of California, Berkeley (2003-2006), she became a regular faculty member in the Department of Mathematics at University of Washington, Seattle (2006-2019). She joined UCSD in 2019.
Dumitriu's research spans a number of areas that fall under the large umbrella of data science: from numerical linear algebra and scientific computing to stochastic eigenanalysis (a.k.a. random matrix theory), and from discrete probability and spectra of random graphs to applications in machine learning, specifically to clustering and community detection.
HonorsFellow of the American Mathematical Society
NSF CAREER Award
Winner of the Leslie Fox Prize in Numerical Analysis
Honorable Mention for the Householder Prize in Numerical Linear Algebra