Tri-Institutional Training Program in Computational Biology & Medicine

计算生物学三机构培训计划

• 批准号: 8500357
• 负责人: DAVID J. CHRISTINI
• 金额: $ 25.06万
• 依托单位: WEILL MEDICAL COLL OF CORNELL UNIV
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2014-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8500357
• 关键词: Computational Biology; Medicine; Training Programs

DESCRIPTION (provided by applicant): The Tri-lnstitutional Training Program in Computational Biology and Medicine (CBM) takes advantage of the outstanding educational and research resources of Cornell University in Ithaca, NY, the Weill Cornell Medical College in New York City, and the Sloan-Kettering Institute (the research arm of the Memorial Sloan- Kettering Cancer Center) to train computational biologists in the interdisciplinary approaches they need to solve the complex problems that characterize biology and medicine. The CBM training environment is designed to address the unique challenges of training scientists in this area and is characterized by: (i) coursework in both quantitative and biological sciences; (ii) research rotations to enable a well-informed thesis topic selection; (iii) journal clubs and research-in-progress series to enhance program cohesion and ensure fluency in relevant disciplines; (iv) thesis research in one of a diverse array of basic to translational computational and experimental laboratories; (v) both quantitative and biological mentorship in order to ensure training balance and breadth; (vi) encouragement to engage in hybrid computational/experimental projects to foster connections between theory and experiment. The enthusiastic support for the CBM program by the Tri-lnstitutional consortium has enabled the program to enroll and support 6 students annually. However, now that the program is well established and entering its sixth year, it is clear that it would benefit from an increase in its most vital component - outstanding students. To that end, the goal of this T32 proposal is to receive funding to increase our annual admission to 9 students. The justifications for such growth include: (i) an unmet demand by CBM faculty for students; (ii) the CBM applicant pool is deep enough to allow for an increase without either lowering quality or decreasing the percentage of admitted domestic students; and (iii) a national need to train more computational biologists. By enabling such growth, T32 funding would aid the CBM program in achieving its mission of training the next generation of scientist to use computational and analytical methods, often integrated with experimental and clinical studies, to solve complex interdisciplinary problems in biology.

描述（申请人提供）：计算生物学和医学（CBM）的三机构培训计划利用了纽约州伊萨卡市康奈尔大学，纽约市威尔康奈尔医学院，以及斯隆-凯特琳研究所（纪念斯隆-凯特琳癌症中心的研究部门）培养跨学科方法的计算生物学家，他们需要解决生物学和医学的复杂问题。建立信任措施培训环境旨在应对这一领域培训科学家的独特挑战，其特点是：（一）数量科学和生物科学课程;（二）研究轮换，以便能够充分知情地选择论文题目;（三）期刊俱乐部和研究进展系列，以加强方案的连贯性，确保相关学科的流畅性;（iv）在各种各样的从基础到转化的计算和实验实验室中进行论文研究;（v）定量和生物导师制，以确保培训的平衡和广度;（vi）鼓励参与混合计算/实验项目，以促进理论和实验之间的联系。三机构联盟对CBM计划的热情支持使该计划每年招收和支持6名学生。然而，现在该计划已经建立并进入第六年，很明显，它将受益于其最重要的组成部分-优秀学生的增加。为此，这个T32提案的目标是获得资金，以增加我们的每年录取9名学生。这种增长的理由包括：（一）CBM教师对学生的需求未得到满足;（二）CBM申请人库足够深，可以增加而不会降低质量或降低录取的国内学生的比例;以及（三）国家需要培养更多的计算生物学家。通过实现这种增长，T32资金将帮助煤层气计划实现其使命，即培训下一代科学家使用计算和分析方法（通常与实验和临床研究相结合）来解决复杂的跨学科问题生物学。