Award Abstract # 1148230
RTG: Research Training in Mathematical and Computational Biology

NSF Org: DMS
Division Of Mathematical Sciences
Recipient: UNIVERSITY OF UTAH
Initial Amendment Date: July 23, 2012
Latest Amendment Date: April 29, 2019
Award Number: 1148230
Award Instrument: Continuing Grant
Program Manager: Victor Roytburd
DMS
 Division Of Mathematical Sciences
MPS
 Directorate for Mathematical and Physical Sciences
Start Date: August 1, 2012
End Date: July 31, 2020 (Estimated)
Total Intended Award Amount: $2,496,299.00
Total Awarded Amount to Date: $2,496,299.00
Funds Obligated to Date: FY 2012 = $500,000.00
FY 2013 = $499,999.00

FY 2014 = $499,220.00

FY 2015 = $499,761.00

FY 2016 = $497,319.00
History of Investigator:
  • James Keener (Principal Investigator)
    keener@math.utah.edu
  • Frederick Adler (Co-Principal Investigator)
  • Paul Bressloff (Co-Principal Investigator)
  • Alla Borisyuk (Co-Principal Investigator)
  • Sean Lawley (Co-Principal Investigator)
  • Aaron Fogelson (Former Co-Principal Investigator)
Recipient Sponsored Research Office: University of Utah
201 PRESIDENTS CIR
SALT LAKE CITY
UT  US  84112-9049
(801)581-6903
Sponsor Congressional District: 01
Primary Place of Performance: University of Utah
UT  US  84112-0090
Primary Place of Performance
Congressional District:
01
Unique Entity Identifier (UEI): LL8GLEVH6MG3
Parent UEI:
NSF Program(s): MATHEMATICAL BIOLOGY,
WORKFORCE IN THE MATHEMAT SCI
Primary Program Source: 01001415DB NSF RESEARCH & RELATED ACTIVIT
01001213DB NSF RESEARCH & RELATED ACTIVIT

01001314DB NSF RESEARCH & RELATED ACTIVIT

01001516DB NSF RESEARCH & RELATED ACTIVIT

01001617DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7301, 9150
Program Element Code(s): 733400, 733500
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.049

ABSTRACT

This RTG program will continue the development of a comprehensive program of cross-disciplinary research and training in Mathematical and Computational Biology, housed within the Department of Mathematics at the University of Utah. The training component will give students a high level of mathematical training, substantial exposure to biological problems and techniques, and extensive experience in communication and collaboration with experimental life scientists. The research component will develop and use mathematical and computational methods to study complex biological processes, organized around four major research themes of biofluids, ecology and evolutionary biology, neuroscience and physiology. The training of students in this program will include traditional and non-traditional coursework, journal clubs, seminars, laboratory rotations, extramural research experiences, research group meetings, mentoring, consulting and teaching experiences, as well as a variety of professional development experiences. Students will receive research mentoring by mathematicians and experimentalists in a highly interactive setting in which they learn the necessary biology and develop the ability to do non-traditional, cross-disciplinary, cutting edge research.

This program will train fully integrated, collaborative researchers, scholars and educators in mathematical and computational biology, thus bringing to bear the power of mathematics on the challenging problems of modern biology. Many collaborative research projects will be initiated as a result of our research training paradigm, as students become engaged with other students and faculty in other departments and institutions. By placing quantitatively trained individuals in an environment where medical and biological problems are at the forefront, the possibilities for new insights and discoveries are truly outstanding. The long term effect of this program will be a new generation of applied mathematical scientists who can work effectively to build bridges between traditional disciplines and among academia, industry and the public sector.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 261)
A. Angelucci, M. Bijanzadeh, L. Nurminen, F. Federer, S. Merlin and P. C. Bressloff "Circuits and mechanisms for surround modulation in visual cortex" Ann. Rev. Neurosci. , v.40 , 2017 , p.425-451
A.A. Onasoga, K. Leiderman, A. L. Fogelson, M. Wang, M.U. Manco-Johnson, J.A. DiPaola, K.B. Neeves "The Effect of Factor VIII Deficiencies and Replacement and Bypass Therapies on Thrombus Formation under Venous Flow Conditions in Microfluidic and Computational Models" PLOS One , v.8 , 2013 , p.e75732 10.1371/journal.pone.0078732
Aaron L. Fogelson, James P. Keener "A Framework for Exploring the Post-gelation Behavior of Ziff and Stell's Polymerization Models" SIAM Journal on Applied Mathematics , 2014
Aaron L. Fogelson, James P. Keener "A Framework for Exploring the Post-gelation Behavior of Ziff and Stell's Polymerization Models." SIAM Journal on Applied Mathematics , v.75 , 2015 , p.1346
Aaron L. Fogelson, Keith B. Neeves "Fluid Mechanics of Blood Clotting" Annual Review of Fluid Mechanics , v.47 , 2015 , p.377
AB Beams, DJA Toth, K Khader, FR Adler "Harnessing Intra-Host Strain Competition to Limit Antibiotic Resistance: Mathematical Model Results" Bulletin of Mathematical Biology , v.78 , 2016 , p.1828
A. C. Nelson, A. L. Fogelson, and J. P. Keener, "A kinetic model of two monomer polymerization" Physical Review E , v.101 , 2020 , p.022501 10.1103/PhysRevE.101.022501
Adler FR, Kim PS. "Models of contrasting strategies of rhinovirus immune manipulation" Journal of Theoretical Biology , v.327 , 2013 , p.1-10 10.1016/j.jtbi.2013.02.010
A. K. Miller, K. Munger, and F. R. Adler "A Mathematical Model of Cell Cycle Dysregulation Due to HumanPapillomavirus Infection" Bull. Math. Biol. , 2017
Akshay Moharir, Lincoln Gay, Daniel Appadurai, James Keener and Markus Babst "Eisosomes are Metabolically Regulated Storage Compartments for APC-type Nutrient Transporters" Mol Biol Cell. , v.29 , 2018 , p.2113
A. M. Granchelli, F. R. Adler, R. H. Keogh, C. Kartsonaki, D. R. Cox, and T. G. Liou "Microbial interactions in the cystic fibrosis airway" Journal of Clinical Microbiology , 2018
(Showing: 1 - 10 of 261)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The major goals of this project were to train undergraduate, graduate and postdoctoral students to do interdisciplinary research in mathematical biology and to initiate and develop research collaborations between life scientists and mathematicians, mediated by these students.  This goal of training undergraduate, graduate and postdoctoral students in interdisciplinary mathematical biology research was met in  excellent fashion.  Over the course of this grant, we involved 41 undergraduate students in REU research projects.  We were able to provide partial support to 36 graduate students, producing 26 PhD theses, and initiating and establishing 20 collaborations with scientists in non-mathematics, life science fields.     In addition, there were 4 non-supported students who    participated in our training program and produced PhD theses.  We had 3 postdoctoral fellows, who in addition to having their research shaped by the interactions in our program, were involved in the mentoring and training of undergraduate and graduate students.  Advanced graduate students were  all directly engaged in the training and mentoring of younger students through our active journal club and research group programs.  Of the postdoctoral fellows, two are employed  in tenure track faculty positions and one is employed by a research pharmaceutical company.

Research topics of these trainees were wide ranging, including (in broad terms) biophysics, cell biology, developmental biology, neuroscience, immunology, epidemiology, cancer dynamics, ecology, molecular biology, genetic regulation, physiology of diabetes, blood physiology and clotting. A complete listing of our PhD recipients can be found on our website at http://www.math.utah.edu/research/mathbio/people/alumni.html.

 


Last Modified: 12/01/2020
Modified by: James P Keener

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