Graduate Training in Computational and Systems Biology

计算和系统生物学研究生培训

• 批准号: 8883565
• 负责人: CHRISTOPHER B BURGE
• 金额: $ 27.37万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 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 2019-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8883565
• 关键词: Systems Biology; Training

DESCRIPTION (provided by applicant): The objective is to continue development of MIT's interdisciplinary predoctoral training program in Computational and Systems Biology (CSB), which trains students to become leaders in biomedical research at the interface of biology, computation and engineering. CSB is the primary training program at MIT for students interested in computational and systems biology and is the only program that emphasizes interdisciplinary training and research in the field. Program faculty are concentrated in the three founding departments - Biological Engineering (BE), Biology, and Electrical Engineering & Computer Science (EECS) - with additional involvement of faculty from other departments. Training faculty research interests span a wide range of CSB- related areas including computational molecular biology/regulatory genomics and evolution, molecular and cellular biophysics, systems biology of cancer and other diseases, proteomics, microbial ecology, bioimaging, protein design/engineering, synthetic biology, microfluidics/Bio-MEMS, and toxicogenomics. This proposal seeks to expand the pool of training faculty significantly, including 9 faculty newly hired in the past 5 years who have active research programs in the field. Students apply directly to the CSB Ph.D. program from their undergraduate or Master's institution and receive multi- and inter-disciplinary training in the field of computational and systems biology. The proposal seeks 12 slots to support 6 students for the first two years of the Ph.D., enabling extended research rotations and participation in special program activities. Unique aspects of the program include: (a) unusually diverse collection of research areas across science and engineering, with highly collaborative interdisciplinary faculty; (b) a unique core of recently developed, interdisciplinary classroom subjects that combine biology, engineering, statistics and computation; (c) intensive advising and multi- disciplinary thesis committees to optimize the training experience for students from diverse academic backgrounds; (d) an annual retreat with participation of students and faculty focusing on research, leadership, and challenges to interdisciplinary research.

描述（由申请人提供）：目标是继续发展麻省理工学院计算与系统生物学（CSB）跨学科博士前培训项目，该项目培养学生成为生物学、计算和工程学交叉领域生物医学研究的领导者。 CSB 是麻省理工学院为对计算和系统生物学感兴趣的学生提供的主要培训项目，也是唯一强调该领域跨学科培训和研究的项目。项目教师集中在三个 创始院系 - 生物工程 (BE)、生物学以及电气工程与计算机科学 (EECS) - 以及其他院系教师的参与。培训教师的研究兴趣涵盖广泛的CSB相关领域，包括计算分子生物学/调节基因组学和进化、分子和细胞生物物理学、癌症和其他疾病的系统生物学、蛋白质组学、微生物生态学、生物成像、蛋白质设计/工程、合成生物学、微流体/生物MEMS和毒物基因组学。该提案旨在大幅扩大培训教师队伍，包括过去 5 年新聘用的 9 名在该领域开展积极研究项目的教师。学生直接申请 CSB 博士学位。从本科或硕士机构获得课程，并接受计算和系统生物学领域的多学科和跨学科培训。该提案寻求 12 个名额来支持 6 名学生攻读博士学位的前两年，从而扩大研究轮换和参与特殊项目活动。该计划的独特之处包括：（a）跨科学和工程领域的异常多样化的研究领域，以及高度协作的跨学科教师； (b) 最近开发的独特核心跨学科课堂科目，结合了生物学、工程、统计和计算； (c) 强化咨询和多学科论文委员会，以优化来自不同学术背景的学生的培训体验； (d) 由学生和教师参加的年度务虚会，重点关注研究、领导力和跨学科研究的挑战。