Tri-Institutional Training Program in Computational Biology & Medicine

计算生物学和医学三机构培训计划（CBM）利用位于纽约州伊萨卡的康奈尔大学、纽约市的威尔康奈尔医学院和斯隆-凯特林研究所（纪念斯隆-凯特林癌症中心的研究机构）的优秀教育和研究资源，培训计算生物学家，让他们掌握解决生物学和医学复杂问题所需的跨学科方法。CBM培训环境旨在解决培训该领域科学家的独特挑战，其特点是：(i)定量和生物科学课程；（ii）研究轮转，以使充分了解论文主题的选择；杂志俱乐部和正在进行的研究系列，以加强项目的凝聚力和确保相关学科的流畅性；（iv）在不同的基础到转化计算和实验实验室进行论文研究；(v)数量和生物指导，以确保培训的平衡和广度；（六）鼓励从事计算/实验混合项目，促进理论与实验的联系。三机构联盟对CBM项目的热情支持使该项目每年招收和支持6名学生。然而，现在该项目已经建立并进入第六个年头，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，T32提案的目标是获得资金，将我们的年度招生人数增加到9人。这种增长的理由包括：(i) CBM教师对学生的需求未得到满足；（ii） CBM申请者足够多，可以在不降低质量或减少录取国内学生比例的情况下增加名额；（三）国家需要培养更多的计算生物学家。通过这样的增长，T32基金将帮助CBM项目实现其培养下一代科学家的使命，他们使用计算和分析方法，通常与实验和临床研究相结合，来解决生物学中复杂的跨学科问题。

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.