Diane Marie Lambert is an American statistician known for her work on zero-inflated models, a method for extending Poisson regression to applications such as the statistics of manufacturing defects in which one can expect to observe a large number of zeros.
[1] A former Bell Labs Fellow, she is a research scientist for Google, where she lists her current research areas as "algorithms and theory, data mining and modeling, and economics and electronic commerce".
Her dissertation, supervised by W. Jackson Hall, was P-Values: Asymptotics and Robustness.
[3] In the early part of her career, she worked as a faculty member at Carnegie Mellon University.
As an assistant professor there, she did pioneering work on the confidentiality of statistical information.