M. Alex O. Vasilescu received her education at the MIT 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 the 2000s, she began reframing the analysis, recognition, synthesis, and interpretability of sensory data as multilinear tensor factorization problems in order to mathematically represent cause-and-effect. Her face recognition research, known as TensorFaces, has been funded by the TSWG, the Department of Defense’s Combating Terrorism Support Program, and by IARPA, the Office of Intelligence Advanced Research Projects Activity. Her work was featured on the cover of Computer World, and in articles in the New York Times, Washington Times, etc. MIT’s Technology Review Magazine named her to their TR100 list of honorees and the National Academy of Science co-awarded the Keck Futures Initiative Grant. Contact Information: maov@cs.ucla.edu; maov@tensor-vision.comUCLA Homepage: http://www.cs.ucla.edu/~maovQuora Profile: https://goo.gl/HOcd8MQuora Q&A: How are tensor methods used in computer vision & machine learning? https://goo.gl/K9EZlBWhat is all the current fuss with tensor data analysis?