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| Recent advances in structural biology, cell
biology, molecular genetics and computer science have transformed
biological sciences into a discipline in which computation
is an essential component. Computational methods allow researchers
to rationally propose structures of complex molecules and
systems, to quantitatively test hypotheses regarding multifaceted
molecular, cellular, organismic and population processes,
and to organize, as well as test relationships in vast and
complex data sets. In this concentration, you will train
with faculty from biologically-based and computationally-based
departments whose research emphases range from refinement
of computation methods to describing particular biological
processes or structures. Modeling of macromolecular structure,
biological processes, and construction as well as mining
of large databases are areas of emphasis within this concentration.
In addition to BMS seminars and curriculum, students within
this area of concentration will participate in a Biological
Computation seminar program, in departmental seminar programs,
and in biological/biomedical research forums. Through these
ways, graduates from this concentration are trained for
research careers in the exciting and dynamic interface between
biomedical and computational disciplines.
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Participating
faculty and areas of research
Note:
Linked pages will be opened in new windows
- Keith
Grasman, Ph.D. Ecotoxicology, immunotoxicology, endocrine
disrupters [home][e-mail]
- Dan
Krane, Ph.D. Molecular evolution, population genetics
[home]
[e-mail]
- Gerald
M. Alter, Ph.D. Protein structure and dynamics. Dissertation
qualified. [home][e-mail]
- Steven
Berberich, Ph.D. Nuclear proteins associated with cellular
proliferation; oncogenes and tumor suppressor genes.
Dissertation qualified. [home][research][e-mail]
- John
Paietta, Ph.D. Molecular genetics, gene regulation,
and control of sulfur metabolism. Dissertation qualified.
[home][e-mail]
- Nicholas
V. Reo, Ph.D. Nuclear magnetic resonance (NMR) studies
of liver metabolism; hepatotoxicity and effects of peroxisome
proliferators. Dissertation qualified. [home][e-mail]
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Paul
Seybold, Ph.D. Biophysical chemistry. [home][e-mail]
- Brent
D. Foy, Ph.D. NMR measurements of diffusion in cartilage,
toxicokinetic modeling, C-13 NMR and modeling carbohydrate
metabolism in liver [bio][e-mail]
- Thomas
Hangartner, Ph.D. Quantitative bone imaging and bone
diseases. Dissertation qualified. [home][e-mail]
- Melvyn
Goldfinger, Ph.D. Central and periferal nervous system
processing of digital and analog information. [bio][e-mail]
- Dan
Halm, Ph.D. Epithelial physiology using electrical recording,
including patch-clamp, and functional imaging with fluorescent
probes [bio][e-mail]
- Thomas
Svobodny, Ph.D., Applied mathematics/scientific computing
[home][e-mail]
- John
Frazier, Ph.D. In vitro toxicology, biologically-based
modeling, hepatocyte culture [home][e-mail]
- Roger
Siervogel, Ph.D. Body Composition and risk for cardiovascular
diseases [home][e-mail]
Biomedical,
Industrial, and Human Factors Engineering Department (BMIHFE)
- Thomas
Hangartner, Ph.D. Quantitative bone imaging and bone
diseases. Dissertation qualified. [home][e-mail]
- Michael
Raymer, Ph.D. Rational drug design, protein structure
modeling, quantitative structure-activity relationship
(QSAR) studies, microarray ("genechip") expression
data analysis, evolutionary computation, and pattern
recognition. [home][e-mail]
- Mateen Rizki, Ph.D. Pattern recognition, machine learning (self-computing), ATR, image processing [home][e-mail]
- Guozhu Dong, Databases; data mining; classification and bioinformatics. Dissertaiton qualified. [home][e-mail]
- Travis Doom, Ph.D. Bioinformatics; algorithm design and analysis. [home][e-mail]
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