This program will prepare scientists for research careers in the computational analysis and mathematical modeling of medically significant biological systems through interdisciplinary training at the predoctoral level. Noted for its well-established system of interdisciplinary graduate programs and for its tradition of collaborations across departmental boundaries, the University of Arizona provides a highly suitable environment for such training. Seventeen training faculty and two associate faculty with appointments in multiple departments and interdisciplinary graduate programs provide strength in three broad areas: molecular dynamics;cellular processes;physiology and pathophysiology. Students will be drawn primarily from the interdisciplinary Program in Applied Mathematics and the cross-disciplinary Biochemistry and Molecular &Cellular Biology Program. Qualified students from other graduate programs will also be eligible. In most cases, students will receive support starting in their second year of graduate training. Trainees will pursue the coursework requirements of their own graduate programs and will, in addition, take graduate courses in bioinformatics, biostatistics and mathematical modeling tailored to their diverse scientific backgrounds. Trainees will take part in a weekly biomathematics colloquium that has been running continuously for more than a decade and promotes dialog between trainees and faculty with primarily mathematical or computational backgrounds and those with strong biological training. Trainees will carry out doctoral research with advisors whose research, whether theoretical or experimental, emphasizes application of theoretical approaches to biomedical problems. Where appropriate, a co-advisor will be appointed to provide complementary expertise to that of the primary advisor. Trainees participating in this program will not only receive research training in relevant areas, but will also develop the ability to communicate and collaborate across traditional disciplinary boundaries and to work with researchers with complementary expertise. Researchers with such skills are critically needed in many areas of biomedical science in which sophisticated theoretical approaches are necessary in order to achieve further progress.

Public Health Relevance

In many areas of biomedical science, sophisticated theoretical approaches are necessary in order to achieve further progress. This program will prepare scientists for research careers in the computational analysis and mathematical modeling of medically significant biological systems through interdisciplinary training at the predoctoral level.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Institutional National Research Service Award (T32)
Project #
3T32GM084905-01A1S1
Application #
7883859
Study Section
National Institute of General Medical Sciences Initial Review Group (BRT)
Program Officer
Remington, Karin A
Project Start
2009-08-01
Project End
2011-07-31
Budget Start
2009-08-01
Budget End
2011-07-31
Support Year
1
Fiscal Year
2009
Total Cost
$233,376
Indirect Cost
Name
University of Arizona
Department
Physiology
Type
Schools of Medicine
DUNS #
806345617
City
Tucson
State
AZ
Country
United States
Zip Code
85721
Dawson, Peter; Romanowski, Marek (2018) Excitation Modulation of Upconversion Nanoparticles for Switch-like Control of Ultraviolet Luminescence. J Am Chem Soc 140:5714-5718
Hanschen, Erik R; Herron, Matthew D; Wiens, John J et al. (2018) Repeated evolution and reversibility of self-fertilization in the volvocine green algae. Evolution 72:386-398
Bertram, J; Gomez, K; Masel, J (2017) Predicting patterns of long-term adaptation and extinction with population genetics. Evolution 71:204-214
Wang, Xia; Fujimaki, Kotaro; Mitchell, Geoffrey C et al. (2017) Exit from quiescence displays a memory of cell growth and division. Nat Commun 8:321
Grochau-Wright, Z I; Hanschen, E R; Ferris, P J et al. (2017) Genetic basis for soma is present in undifferentiated volvocine green algae. J Evol Biol 30:1205-1218
Williams, Michael R; Lehman, Sarah J; Tardiff, Jil C et al. (2016) Atomic resolution probe for allostery in the regulatory thin filament. Proc Natl Acad Sci U S A 113:3257-62
Hanschen, Erik R; Marriage, Tara N; Ferris, Patrick J et al. (2016) The Gonium pectorale genome demonstrates co-option of cell cycle regulation during the evolution of multicellularity. Nat Commun 7:11370
Vig, Dhruv K; Hamby, Alex E; Wolgemuth, Charles W (2016) On the Quantification of Cellular Velocity Fields. Biophys J 110:1469-1475
Smith, Shane P; Secomb, Timothy W; Hong, Brian D et al. (2016) Time-Dependent Regional Myocardial Strains in Patients with Heart Failure with a Preserved Ejection Fraction. Biomed Res Int 2016:8957307
Li, Frank; Buck, Danielle; De Winter, Josine et al. (2015) Nebulin deficiency in adult muscle causes sarcomere defects and muscle-type-dependent changes in trophicity: novel insights in nemaline myopathy. Hum Mol Genet 24:5219-33

Showing the most recent 10 out of 34 publications