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Faculty Grants and Awards
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Million Dollar Grant: Modeling Septic Shock
Professors Carson Chow (project leader) and Greg Constantine of the
Pitt Math Department are members of a NIH-NSF funded multidisciplinary team
modeling septic shock.
Carson writes: If you are infected or traumatically injured,
your body mounts a defensive response to eliminate the
pathogens and damaged tissue, then
restore your body back to healthy function. Symptoms of this
acute inflammatory response include
fever, low blood pressure, rapid heart rate, and feeling `ill'. If
severe enough, this condition is known medically as septic shock.
There are approximately three-quarters of a
million patients suffering from severe septic shock in the
United States each year, many of whom die. Currently, there are no
known sure-fire cures for septic shock.
Recently, Pitt faculty in the
departments of mathematics, statistics, critical care medicine and
surgery have been awarded a joint NSF and NIH grant in mathematical
biology to attempt to tackle this perplexing disease.
One reason for the failure of finding effective therapies is that the
acute inflammatory response is a highly complex system involving many
interacting elements. Currently, most medical research focuses on
targeting single elements. However, the ultimate consequence of
modulating that element is impossible to predict from the knowledge of
the actions of that element in isolation. What is needed is a global
understanding of the entire response. This is where mathematics can
play a role. The actions of these immune cells and cytokines can be
modeled mathematically. The goal is to create a `virtual patient'
where therapies can be designed and tested. If sophisticated enough,
the model could be used for real time predictions of patient outcomes.
Currently, the Pitt effort is combining methods from dynamical systems
theory, perturbation theory, numerical simulations, statistical
analysis, and animal experiments to undertake this challenge.
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Pitt Math Professor Collaborates with Nobel Winner
The 2002 Nobel prize winner in Economics, Vernon Smith, is a long time
collaborator of Professor Gunduz Caginalp.
Together they have modeled the human behavior of Wall Street investors
and investigated how this affects the movement of stocks. The
approach is an unconventional combination of `hard' mathematical
analysis and `soft' psychology.
Their work is explored in a recent PittChronicle titled The
Psychology of Stock Markets, and also in Math prof collaborates with Nobel winner from the University Times.
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New Faculty
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Assistant Professor: Dave Saunders
David Saunders received his Ph.D. from the University of Toronto in
2001. His main research interests are Mathematical Finance and
Stochastic Optimization.
Before joining the faculty at Pitt, Dr. Saunders was a professor at the
Cyprus International Institute of Management and a research fellow at the
University of Cyprus.
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Assistant Professor:
Beatrice Riviere
Beatrice Riviere's research interests include the mathematical analysis
and the numerical studies of finite element methods for solving general
partial differential equations. After receiving a Master at
Pennsylvania State University and a PhD at the
University of Texas at Austin in 2000, Beatrice was a postdoctoral fellow
at the Center for Subsurface Modeling at the University of Texas.
Beatrice is particularly interested in numerical methods that can
handle unstructured meshes, local and high order of approximation, and
that can yield very accurate solutions. Her work includes some of the
first analysis of several discontinuous Galerkin (DG) methods for elliptic
and parabolic equations. Applications of DG methods arise from
the geosciences community where local mass conservation is crucial.
Beatrice's current research deals with the analysis and implementation
of DG methods to seismic wave propagation, incompressible flow and
multiphase flow. Both a priori and a posteriori analysis are investigated.
A general adaptive software platform, developed over the last five years,
allows for numerical simulations of realistic problems.
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Postdoc: Jared Anderson
Jared Anderson is from Victoria, British Columbia. He earned a degree in
math and physics from the University of Victoria in 1996, and a PhD from
Princeton in 2000, where his advisor was Robert MacPherson. Since then he
has been postdocing, first at the University of Massachusetts, now at the
University of Pittsburgh.
His research interests are in geometry and
topology, and his work has applications to algebra, combinatorics, and Lie
theory. Although he never expected it, Jared also enjoys teaching, and
likes students.
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Picture Perfect |
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Math and the Energy Crisis
Faced with warnings of an energy crisis, there are plans to drill for
oil in the
Arctic National
Wildlife
Refuge. Amid a
storm of
criticism from
environmental
groups, the
oil industry
has claimed
that new
techniques
mean that the
drilling can
be done in an
environmentally
sound way.
Pitt math professor Beatrice Riviere explains, with examples from her own
work, how advanced math
modeling makes this possible.
More >>
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