Aparna V. Huzurbazar is an American statistician known for her work using graphical models to understand time-to-event data. She is the author of a book on this subject, Flowgraph Models for Multistate Time-to-Event Data (Wiley, 2004).^[1]

Huzurbazar is a research scientist at the Los Alamos National Laboratory. She graduated in 1988 with two bachelor's degrees from two different universities: one in mathematics from Claremont McKenna College, and another in aerospace engineering from the University of Colorado Boulder. She completed a Ph.D. in statistics in 1994 at Colorado State University.^[2] Her dissertation, supervised by Ronald W. Butler, was Prediction in Stochastic Networks.^[3] She took a faculty position at the University of Florida, but then moved to the University of New Mexico in 1996, and moved again to Los Alamos in 2007.^[2]

Huzurbazar is the daughter of noted Indian statistician V. S. Huzurbazar and the sister of noted statistician Snehalata V. Huzurbazar;^[4] her husband, Brian J. Williams of Los Alamos, is also a statistician.^[5] All four are Fellows of the American Statistical Association; Aparna was elected as a Fellow in 2008, her father in 1983, Williams in 2015, and her sister in 2017.^[6] Huzurbazar was also elected as a member of the International Statistical Institute in 2006.^[2]