Jing-Rebecca Li
From Wikipedia, the free encyclopedia
Jing-Rebecca Li is an applied mathematician known for her work on magnetic resonance imaging and Lyapunov equations. She is a researcher with the French Institute for Research in Computer Science and Automation (INRIA), at their Saclay research center.
Li graduated from the University of Michigan in 1995 with highest distinction and honors in mathematics,[1] after starting out at Michigan as a mechanical engineering student.[2] She completed a Ph.D. in applied mathematics at the Massachusetts Institute of Technology in 2000.[1] Her dissertation, Model reduction of large linear systems via low rank system Gramians, was supervised by Jacob K. White.[3]
She was a postdoctoral researcher at the Courant Institute of Mathematical Sciences from 2000 to 2003, and earned a habilitation at Paris-Sud University in 2013. She has been a research scientist with INRIA since 2003.[1]
