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Professor Peter Hall is currently in California so available on email

and Skype: halpstat

Dr Nerissa Hannink
+61 3 8344 8151
0430 588 055


Professor Peter Hall from the University of Melbourne’s Department of Mathematics and Statistics, has been elected to the prestigious US-based National Academy of Sciences (NAS).

Scientists are elected to the NAS by their peers for their distinguished and continuing achievements in original research.

Professor Hall, an Australian Laureate Fellow, was elected as a foreign associate in recognition of his world-leading research in probability and mathematical statistics.

He is one of the most prolific and highly cited researchers in this field with more than 500 research papers and four monographs (specialized pieces of work) with applications in the statistical analysis of medical and astronomical data among others.

The NAS is a private, non-profit society of distinguished scholars. Established by an Act of Congress, signed by President Abraham Lincoln in 1863, the NAS is charged with providing independent, objective advice to the nation on matters related to science and technology.

The NAS announced the election of 84 new members and 21 foreign associates from 14 countries. Foreign associates are non-voting members of the Academy, with citizenship outside the United States.

Professor Hall said his election came as quite a shock.

“I’m still coming to terms with this recognition. It's as though I've mistakenly stepped into a parallel universe and am expecting to step back into my familiar surroundings sometime soon,” he said.

In 2011 Professor Hall received his fourth Australian Research Council (ARC) fellowship – a Laureate Fellowship, to develop important advances in the field, leading to new statistical methodologies.

Professor Hall’s early work was in fundamental probability theory resulting in three monographs, the first being the widely used ‘Martingale Limit Theory and its Applications’.

He has made important contributions to the study of spatial processes and stochastic geometry including the book ‘An Introduction to the Theory of Coverage Processes’.