University of Utah Interdisciplinary Training Program in Computational Approaches to Diabetes and Metabolism Research

犹他大学糖尿病和代谢研究计算方法跨学科培训项目

基本信息

批准号：
10654554
负责人：
Karen Louise Eilbeck
金额：
$ 29.2万
依托单位：
UNIVERSITY OF UTAH
依托单位国家：
美国
项目类别：
财政年份：
2016
资助国家：
美国
起止时间：
2016-07-01 至 2026-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10654554
关键词：
Diabetes Mellitus Metabolism Research Training Programs Universities Utah

项目摘要

PROJECT SUMMARY This application represents the first competitive renewal application for the University of Utah’s (UofU) Interdisciplinary Training T32 Program in Computational Approaches to Diabetes and Metabolism Research (CADMR T32). This program cross-trains both predoctoral and postdoctoral trainees in the computational and mathematical sciences and in the biological basis of diabetes and obesity. Our program trainees gain the expertise and leadership skills to apply computational and mathematical methods to complex biological questions that will ultimately impact the prevention, treatment, and outcomes of people with diabetes and related metabolic diseases. This training program consists of a combination of mentored research and career development training, coursework, and extensive interactions with faculty and trainees across campus and beyond. With unique resources such as the Center for Genomic Medicine, the Utah Population Database, the Utah Genome Project, the Department of Biomedical Informatics, and the Diabetes and Metabolism Research Center, the University of Utah has an exceptional training environment and has seen many dual-mentored trainees establish independent research careers. The CADMR T32 will be led by two PIs who have computational (Dr. Karen Eilbeck) and diabetes expertise (Dr. Simon Fisher). The proposed multidisciplinary training program spans 13 departments at the University. The goal of this interdisciplinary program is to prepare predoctoral and postdoctoral trainees to be leaders in computational and mathematical methods and engage them in the analysis of large data sets involving complex biological problems in diabetes, obesity, and metabolism. Each trainee will participate in a two-year training program that includes a research project with a multidisciplinary mentoring committee, didactic coursework, and professional development opportunities. Each trainee will receive dual mentorship from both a computational and a biological mentor. The mentoring committees, tailored to each trainee’s research interests, will draw from a mentor pool of 38 MD and PhD investigators (15 computational/mathematic mentors and 23 diabetes/metabolism mentors). The training program will be overseen by a Steering Committee comprising the two Principal Investigators and four committee members, all of whom are investigators with strong track records of uncompromising commitment to mentoring trainees. We are requesting support for five trainee positions (three predoctoral and two postdoctoral) to train a total of 15 scientists over 5 years. With this unique interdisciplinary training experience, we expect our trainees to become world leaders in the application of bioinformatics to diabetes, obesity, and metabolism research.

项目摘要该申请代表了犹他大学（UOFU）的第一个竞争续订申请跨学科培训T32糖尿病和新陈代谢研究的计算方法计划（CADMR T32）。该计划在计算和数学科学以及糖尿病和肥胖的生物学基础。我们的计划学员获得了将计算和数学方法应用于复杂生物学的专业知识和领导能力最终会影响糖尿病患者的预防，治疗和结果的问题相关代谢疾病。该培训计划包括修改研究和职业的结合发展培训，课程工作以及与校园各地的教职员工和学员进行了广泛的互动超过。拥有独特的资源，例如基因组医学中心，犹他州人口数据库，犹他州基因组项目，生物医学信息学系以及糖尿病和代谢研究中心，犹他大学有一个卓越的培训环境，并且看到了许多双重投资学员建立了独立的研究职业。 CADMR T32将由两个PI领导计算（Karen Eilbeck博士）和糖尿病专业知识（Simon Fisher博士）。拟议的多学科培训计划跨越大学的13个系。这个跨学科计划的目标是准备毒品和博士后学员，成为计算和数学方法的领导者，让他们参与涉及糖尿病，肥胖和涉及复杂生物学问题的大数据集的分析代谢。每个学员将参加一个为期两年的培训计划，其中包括一个研究项目多学科指导委员会，教学课程和专业发展机会。每个学员将从计算和生物学心理中获得双重精神。心理针对每个学员的研究兴趣量身定制的委员会将从38 MD和博士学位的精神库中汲取灵感研究人员（15名计算/数学导师和23名糖尿病/代谢导师）。培训计划将由指导委员会监督，该指导委员会完成两名主要调查员和四名委员会成员，所有人都是调查员，对不妥协的承诺有很强的记录指导学员。我们要求支持五个受训人员职位（三个占主导地位和两个博士后）在5年内总共培训15位科学家。有了这种独特的跨学科培训经验，我们希望我们的受训者成为将生物信息学应用于糖尿病，肥胖和代谢研究。