Aseel Farhat, an applied analysis mathematician, specializes in partial differential equations (PDEs) arising in fluid dynamics. Her research focuses on the mathematical analysis of the Navier-Stokes equations and geophysical models for oceans and atmospheres. Applications of her work include chaotic system prediction, data-driven analysis and data assimilation.

Farhat's publications appear in prestigious journals, including the Indiana University Mathematics Journal, Physical Review Fluids, Nonlinearity, SIAM Journal on Applied Dynamical Systems (SIADS) and the Archive for Rational Mechanics and Analysis (ARMA). Her research is supported by the National Science Foundation, and she is currently a principal investigator on an NSF research grant focusing on the impact of Earth rotation and stratification on the mathematical analysis of fluids.  She is also a principal investigator on an NSF Research Experiences for Undergraduates (REU) grant on Mathematics in real-world applications with a focus on involving underrepresented minorities in STEM fields.

Farhat earned her Ph.D. at the University of California, Irvine, and has held postdoctoral positions at the University of Indiana, Bloomington, and the University of Virginia. Before returning to the University of Virginia, she was an assistant professor at the Florida State University. 

This year, Farhat's research will focus on developing and analyzing practical algorithms to model small-scale behavior in fluids, ultimately leading to more accurate predictions and improved accuracy of numerical simulations. She will also organize educational activities aimed at creating a welcoming and inclusive learning environment for a diverse range of students, early-career and underrepresented groups in mathematics.