**GODAMBE, Vidyadhar P. **

*Department of Statistics and Actuarial Science, University of Waterloo
*

Vidyadhar P. Godambe, Department of Statistics and Actuarial Science,
University of Waterloo, is internationally recognized as a major influence
on the development of statistics over the past five decades. His pioneering
and continuing work in the foundations of inference in survey sampling
has provided deep insight into the characterization of optimal procedures
and the role of randomization in statistics. He has also made outstanding
and innovative contributions to the theory of estimation, formulating
the methodology of estimating functions, leading and stimulating its
further development, and promoting its application to diverse areas.
His work has attracted many other researchers and students to fundamental
problems in the theory of estimation and statistics generally.

**GUTHRIE, J. Peter**

*Department of Chemistry, The University of Western Ontario *

J. Peter Guthrie, Department of Chemistry, The University of Western
Ontario, is a scientific leader in developing methods for the prediction
of rate constants for chemical reactions in solution. He began with
studies of the application of Marcus Theory to organic reactions, then
developed Multidimensional Marcus Theory to treat concerted reactions
in terms of the hypothetical stepwise reactions, and recently developed
No Barrier Theory, which allows calculation of the rate constants for
a great many reactions in solution with no adjustable parameters. Along
the way he devised indirect methods, starting with calorimetric measurements,
for determining equilibrium constants for formation of undetectable
intermediates.

**KAMRAN, Niky**

*Department of Mathematics and Statistics, McGill University*

Niky Kamran, Department of Mathematics and Statistics, McGill University,
is a leading researcher in the geometric study of differential equations.
In a series of joint papers with Finster, Smoller and S. T. Yau, he
has recently established sharp estimates for the long-time behaviour
of Dirac fields in axisymmetric black hole geometries. His work on differential
invariants and conservation laws for differential equations has led
to an in-depth understanding of the property of geometric integrability
for hyperbolic equations. He is also a founder of the rapidly expanding
field of quasi-exactly solvable spectral problems in quantum mechanics.
The growth of this field is due to a significant extent to his foundational
papers. He is the recipient of the André Aisenstadt Prize in
1992, and is a Laureate of the Royal Academy of Sciences of Belgium.
He won that academy's prize in mathematics in 1988 for his research
monograph "Contributions to the study of the equivalence problem
of Elie Cartan and its applications to partial and ordinary differential
equations."

**MADRAS, Neal **

*Department of Mathematics and Statistics, York University *

Neal Madras, Department of Mathematics and Statistics, York University,
is well known in the international mathematical and mathematical-physics
communities for his leading edge contributions to the rigorous theory
of self-avoiding walks. He is one of the world leaders in this field.
His book with Gordon Slade, The Self-Avoiding Walk, is a major contribution
that is of fundamental interest to physicists, chemists and mathematicians
alike. It is recognized as the definitive reference work on the subject.
Madras is also one of the leading contributors to the development and
applications of more efficient Monte Carlo methods for the numerical
simulation of self-avoiding walks, and has also made significant contributions
to the general mathematical theory of self-avoiding geometrical objects,
such as trees and lattice animals, which are important as lattice models
of polymers. He is also one of the influential contributors to the general
theory of Monte Carlo methods and randomized algorithms. Madras is also
well known for his contributions to probability theory and stochastic
processes, as well as for his excursions into mathematical biology.

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