The University of Wisconsin's (UW) Computation and Informatics in Biology and Medicine Training Program (CIBM) is proposing to help train the next generation of computational scientists in health and disease research. We will extend our prior collaboration with the Marshfield Clinical Research Foundation to also fully integrate our program with UW's Institute for Clinical and Translational Research (ICTR). The interplay between computational and statistical methods and the biomedical sciences continues to expand rapidly. Both computer modeling and informatics now play a key role in both biology and medicine, and our researchers have been developing novel state-of-the-art algorithms for the analysis of molecular and clinical research data. The organizations involved in CIBM are strong. UW has a total externally funded research portfolio of $1B/year and is a leading research university. A good fraction of this research is in the biomedical sciences and related areas, and a number of departments involved in CIBM are regularly in the 'top ten'lists in various polls, including Computer Sciences, Genetics, Biochemistry, Statistics, Chemical and Biological Engineering, and others. We will continue to build on these strengths as we move more to health and disease-related research training. The strength of CIBM has been to bring strong algorithmic thinking from computer scientists, statisticians, and informaticists to projects and domains where challenging problems lie. We will continue to use this model going forward. We have demonstrated strong success in recruiting and training graduate students and postdoctoral fellows. This is evidenced by the number of new faculty we have produced in the biomedical informatics area, the development of new externally funded multi-disciplinary research projects, and our involvement in minority recruitment and placement. To buttress these new training endeavors we have added new members to our CIBM management committee, including Prof. Eneida Mendonga, a new faculty member in Clinical Research Informatics at UW's ICTR, and Dr. Amit Acharya, a dental informaticist from the Marshfield Clinic. Our curriculum now includes courses closely connected to clinical and translational research, and we propose to include new opportunities for postdoctoral dental informatics research. The program will be well positioned to serve the country with highly trained researchers in biomedical informatics.

Public Health Relevance

As more information becomes available on medical outcomes and on genetic factors in health and disease it becomes more imperative to properly collect, store, and analyze these data to improve clinical practices. Researchers and faculty are needed that are expert in the areas of computer science and information management as they apply to translational research. We are proposing a continuation of UW's Computation and Informatics in Biology and Medicine Training Program to help achieve this mission. ! !

National Institute of Health (NIH)
National Library of Medicine (NLM)
Continuing Education Training Grants (T15)
Project #
Application #
Study Section
Special Emphasis Panel (ZLM1-AP-T (01))
Program Officer
Florance, Valerie
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of Wisconsin Madison
Schools of Earth Sciences/Natur
United States
Zip Code
Shoenbill, Kimberly; Song, Yiqiang; Cobb, Nichelle L et al. (2017) IRB Process Improvements: A Machine Learning Analysis. J Clin Transl Sci 1:176-183
Guo, Xiao; Niemi, Natalie M; Hutchins, Paul D et al. (2017) Ptc7p Dephosphorylates Select Mitochondrial Proteins to Enhance Metabolic Function. Cell Rep 18:307-313
Gutierrez-Barragan, Felipe; Ithapu, Vamsi K; Hinrichs, Chris et al. (2017) Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM. Neuroimage 159:79-98
Wang, Richard J; Gray, Melissa M; Parmenter, Michelle D et al. (2017) Recombination rate variation in mice from an isolated island. Mol Ecol 26:457-470
Barkal, Layla J; Procknow, Clare L; Álvarez-García, Yasmín R et al. (2017) Microbial volatile communication in human organotypic lung models. Nat Commun 8:1770
Velsko, Irina M; Overmyer, Katherine A; Speller, Camilla et al. (2017) The dental calculus metabolome in modern and historic samples. Metabolomics 13:134
Glurich, Ingrid; Schwei, Kelsey M; Lindberg, Sara et al. (2017) Integrating Medical-Dental Care for Diabetic Patients: Qualitative Assessment of Provider Perspectives. Health Promot Pract :1524839917737752
Pizarro, Ricardo; Richner, Tom; Brodnick, Sarah et al. (2017) Estimating cortical column sensory networks in rodents from micro-electrocorticograph (?ECoG) recordings. Neuroimage 163:342-357
Chasman, Deborah; Roy, Sushmita (2017) Inference of cell type specific regulatory networks on mammalian lineages. Curr Opin Syst Biol 2:130-139
Proffitt, J Michael; Glenn, Jeremy; Cesnik, Anthony J et al. (2017) Proteomics in non-human primates: utilizing RNA-Seq data to improve protein identification by mass spectrometry in vervet monkeys. BMC Genomics 18:877

Showing the most recent 10 out of 209 publications