M. Alex O. Vasilescu received her education at the Massachusetts Institute of Technology and the University of Toronto.  She was a research scientist at the MIT Media Lab from 2005–07 and at New York University’s Courant Institute of Mathematical Sciences from 2001–05.

In the early 2000s, Vasilescu introduced the tensor algebraic framework for computer vision, computer graphics, machine learning, and generalized concepts from linear algebra to tensor algebra. She addressed causal inferencing questions by framing computer graphics and computer vision as multilinear problems. This has yielded powerful statistical methods that demonstratively disentangle the causal factors of data formation. Causal inferencing in a tensor framework facilitates the analysis, recognition, synthesis, and interpretability of sensory data. The development of the tensor framework has been spearheaded with premier papers, such as: Human Motion Signatures (2001), TensorFaces(2002), MICA(2005), TensorTextures(2003), and Multilinear Projection for Recognition (2007, 2011).

Vasilescu’s work was featured on the cover of Computer World Canada (currently, IT World Canada), and in articles in the New York Times, Washington Times, etc.  MIT's Technology Review named her as TR100 honoree, and the National Academy of Science co-awarded the KeckFutures Initiative Grant.








Jun 18, 2019: My non-technical interview with CVPR Daily news