Automated facial analysis to detect identity, expression, age, etc. has many important applications in security and human-computer interaction. Accurately estimating the age of a person is a challenging task for most people, and algorithms have been developed over the last decade or so that enable computers to guess a person's age quite accurately now. In this talk we look at how linear algebra techniques can be used for modelling the facial aging process, enabling accurate age estimation, as well as simulation of the aging process. This talk will be easily understood by students who have studied Linear Algebra, and the general public as well.