The Yale Biomedical Informatics Research Training Program is directed by Dr. Perry L. Miller and is based in the Yale Center for Medical Informatics (YCMI) and many other academic units at Yale, reflecting the diversity of Yale's collaborative Biomedical Informatics research. Predoctoral training will continue to be carried out in part within existing graduate programs, such as Computer Science, Biomedical Engineering, Biology, Genetics, and Neurobiology. In addition, Yale will shortly have a new Ph.D. program in Biomedical Informatics, focusing initially on bioinformatics (informatics in the biosciences). The central core of postdoctoral training involves each fellow defining one or two projects which can be carried out independently, under faculty supervision. Depending on their specific backgrounds and interests, postdoctoral fellows are encouraged to participate in a variety of other activities, including 1) attending teaching seminars and courses related to Biomedical Informatics, 2) participating in institutional computing activities in both the clinical and bioscience arenas, and 3) helping in various teaching activities. In addition, a postdoctoral fellow with an appropriate background may enroll in a graduate program to study for a Master's degree or a Ph.D.. The goal is to provide trainees with the necessary background and experience that will allow them to pursue productive careers in Biomedical Informatics. Because of the rapidly growing scope of Biomedical Informatics activities at Yale, including the new Ph.D. program, the size of the training program is proposed to increase from its present size of 8 training positions (2 predoctoral, 6 postdoctoral - with 4 additional postdocs supported by our current Bioinformatics supplement) to 16 training positions in year 1 of the proposed training period (6 predoctoral, 10 postdoctoral), with additional predoctoral positions in subsequent years.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Continuing Education Training Grants (T15)
Project #
2T15LM007056-16
Application #
6466107
Study Section
Special Emphasis Panel (ZLM1-MMR-T (J2))
Program Officer
Florance, Valerie
Project Start
1987-07-01
Project End
2007-06-30
Budget Start
2002-07-01
Budget End
2003-06-30
Support Year
16
Fiscal Year
2002
Total Cost
$758,564
Indirect Cost
Name
Yale University
Department
Anesthesiology
Type
Schools of Medicine
DUNS #
082359691
City
New Haven
State
CT
Country
United States
Zip Code
06520
Zawack, Kelson; Love, Will; Lanzas, Cristina et al. (2018) Inferring the interaction structure of resistance to antimicrobials. Prev Vet Med 152:81-88
Abel, Erica A; Shimada, Stephanie L; Wang, Karen et al. (2018) Dual Use of a Patient Portal and Clinical Video Telehealth by Veterans with Mental Health Diagnoses: Retrospective, Cross-Sectional Analysis. J Med Internet Res 20:e11350
Klein, Michael I; Stern, David F; Zhao, Hongyu (2017) GRAPE: a pathway template method to characterize tissue-specific functionality from gene expression profiles. BMC Bioinformatics 18:317
Lu, Qiongshi; Powles, Ryan L; Abdallah, Sarah et al. (2017) Systematic tissue-specific functional annotation of the human genome highlights immune-related DNA elements for late-onset Alzheimer's disease. PLoS Genet 13:e1006933
McGregor, Kyle A; Hensel, Devon J; Waltz, Amy C et al. (2017) Adolescent Sexual Behavior Research: Perspectives of Investigators, IRB Members, and IRB Staff about Risk Categorization and IRB Approval. IRB 39:17-20
McDougal, Robert A; Morse, Thomas M; Carnevale, Ted et al. (2017) Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience. J Comput Neurosci 42:1-10
Gaines, J C; Virrueta, A; Buch, D A et al. (2017) Collective repacking reveals that the structures of protein cores are uniquely specified by steric repulsive interactions. Protein Eng Des Sel 30:387-394
Heffelfinger, Christopher; Fragoso, Christopher A; Lorieux, Mathias (2017) Constructing linkage maps in the genomics era with MapDisto 2.0. Bioinformatics 33:2224-2225
Lin, Zhongwei; Tropper, Carl; Mcdougal, Robert A et al. (2017) Multithreaded Stochastic PDES for Reactions and Diffusions in Neurons. ACM Trans Model Comput Simul 27:
Lin, Zhongwei; Tropper, Carl; Yao, Yiping et al. (2017) Load balancing for multi-threaded PDES of stochastic reaction-diffusion in neurons. J Simul 11:267-284

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