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Dr. David J. Klinke II is
currently an assistant professor in the Department of Chemical Engineering
in the WVU College of Engineering and Mineral
Resources (CEMR). In addition to his position in Chemical
Engineering, he is an Adjunct Assistant Professor of Microbiology,
Immunology & Cell Biology in the WVU School of Medicine
and a member of the Interdisciplinary Research Center for
Immunopathology & Microbial Pathogenesis. He received his Ph.D.
in Chemical Engineering from Northwestern University
in 1998, where his research focus was on developing detailed chemical kinetic
models of Fischer-Tropsch synthesis. From 1999 until joining WVU in 2006, he
provided strategic direction in developing mathematical models of immunologic
and metabolic diseases for one of the commercial leaders in the emerging
field of systems biology: Entelos, Inc. His current research
applies the computational tools of engineering analysis to biological
problems in immunology and cellular signal transduction.
This
Isn’t Your Parent’s Chemical Engineering
Here at West Virginia University,
Prof. Klinke’s research program builds on his experience developing
large-scale mathematical models of human pathophysiology. Building
mathematical models of disease is a collaborative effort between chemical
engineers and life scientists to extract information from the scientific
literature to define, calibrate, and validate these models experimentally.
Understanding biology via computational modeling is very similar to
traditional research in chemical engineering. At the most basic level,
chemical engineering is a field in which basic science data is integrated
into computational frameworks. Traditionally, chemical engineering integrates
basic chemistry data into computational models to develop new chemical
products or processes. Moving forward into the 21st Century, there
is an urgent need for integrating basic biology data into computational
frameworks to understand disease pathophysiology and aid in the rational
design of novel therapeutics. It is our goal to become leaders in the field
of chemical engineering by fulfilling this urgent need.
Commitment
to Engineering Education
The Department of Chemical Engineering at West Virginia University has a long history of
excellence in undergraduate engineering education. In envisioning the skills
required in the 21st Century workplace, one of Prof.
Klinke’s educational goals is to create a cross-disciplinary learning
experience for both undergraduates and graduate students. Specifically, Dr.
Klinke feels that chemical engineers are uniquely positioned to apply creatively
the computational tools of engineering analysis to solve complex biological
problems. However as scientific disciplines become more complex, the
terminology associated with a particular discipline becomes more specialized.
As a result, a big hurdle in fostering cross-disciplinary collaborations is
the lack of common terminology. Thus, Prof. Klinke’s educational
efforts will reduce this barrier by focusing on three areas: 1) increasing
the frequency of interaction with researchers outside of the College of Engineering
and Mineral Resources through research collaborations with colleagues in the
WVU School of Medicine, 2) incorporating non-traditional problems drawn from
biology into standard chemical engineering courses, and 3) developing a new
curriculum in biomedical engineering at WVU.
We are
current looking for graduate students. If you would like to join our group or
find out more about Dr. Klinke’s research, feel free to contact him at
(304) 293-2111 ext 2432 or e-mail david.klinke(AT)mail.wvu.edu
Selected Publications (full
CV)
Refereed articles
1. Klinke,
D.J.; Ustyugova, I.V.; Brundage, K.M.; and Barnett, J.B.; “Modulating
Temporal Control of NF-kappaB Activation: Implications for Therapeutics and
Assay Selection”, Biophysical
J 94(2008)
4249-4259.
2. Klinke,
D.J.; “Extent of Beta Cell Destruction is Important but Insufficient to
Predict the Onset of Type 1 Diabetes Mellitus”, PLoS
ONE 3(2008)
e1374.
3. Klinke,
D.J.; “Integration of Epidemiological Data into a Mechanistic Model of
Type 2 Diabetes: Validating the Prevalence of Virtual Patients”, Ann.
Biomed. Eng. 36(2008) 321-334.
4. Klinke,
D.J.; “A Multi-Scale Model of Dendritic Cell Education and Trafficking
in the Lung: Implications for T Cell Polarization”, Ann.
Biomed. Eng. 35(2007) 937-955.
5. Klinke,
D.J.; “An Age-Structured Model of Dendritic Cell Trafficking in the
Lung”, Am.
J. Physiol. Lung Cell. Mol. Physiol. 291(2006) L1038-L1049.
6. Klinke,
D.J.; “The Ratio of P40 Monomer to Dimer is an Important Determinant of
IL-12 Bioactivity”, J.
Theor. Biology 240(2006) 323-335.
7. Broadbelt,
L. J. and Klinke, D. J., “Kinetics of Catalyzed Reactions –
Heterogeneous” in Encyclopedia
of Catalysis, Istvan T. Horvath (Editor-in-Chief), ISBN 0-471-24183-0,
pp. 4772, December 2002.
8. Klinke,
D. J. and Broadbelt, L. J., “Construction of a Mechanistic Model of
Fischer-Tropsch Synthesis on Ni(111) and Co(0001) Surfaces”, Chem. Eng. Sci. 54(1999) 3379-3389.
9.
Klinke, D. J. and Broadbelt, L. J., “Mechanism Reduction during
Computer Generation of Compact Reaction Models”, AIChE J. 43(1997)
1828-1837.
Patents and Patent Applications
1. Defranoux,
N.A.; Dubnicoff, T.B.; Klinke, D.J.; Lewis, A.K.; Paterson, T.S.; Ramanujan, S.;
Shoda, L.K.M.; Soderstrom, K.P.; Struemper, H.K.; “Method and apparatus
for computer modeling a joint”, US
Patent #6,862,561.
2. Kelly,
S.D.; Klinke, D.J.; Leong, C.; Lewis, A.K.; Okino, M.S.; Paterson, T.S.;
Shoda, L.K.M.; Stokes, C.; Struemper, H.K.; “Method and apparatus for
computer modeling of an adaptive immune response”, US Patent Application #20030104475.
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