Andrea Walther (born 1970)[1] is a German applied mathematician whose research interests include nonlinear optimization, non-smooth optimization, and scientific computing, and who is known in particular for her work on automatic differentiation.
[2] After studying business mathematics at the University of Bayreuth beginning in 1991 and earning a diploma in 1996, Walther completed a doctorate at the Dresden University of Technology in 1999.
[2] Her dissertation, Program Reversal Schedules for Single-and Multi-processor Machines, was supervised by Andreas Griewank [de].
[2] She worked as a research assistant and junior professor at the Dresden University of Technology from 2000 to 2008.
[4] With her advisor Andreas Griewank, Walther is the coauthor of the second edition of the book Evaluating derivatives: principles and techniques of algorithmic differentiation (Society for Industrial and Applied Mathematics, 2008).