Graduate Training in Computational and Systems Biology

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）跨学科的博士前研究生培训计划，培养学生成为生物学，计算和工程界面的生物医学研究的领导者。CSB博士课程是麻省理工学院计算与系统生物学计划（CSBi;.http://csbi.mit.edu）的核心组成部分，该计划是一项全学院范围的计划，涵盖了该领域的各种合作和跨学科研究、教育和社区努力。项目教师集中在三个创始部门-生物工程（BE），生物学和电气工程与计算机科学(EECS) -其他部门的教师也参与其中。这些系的教师的研究项目涵盖了计算和系统生物学的广泛主题，包括基因和蛋白质网络建模和重建、细胞和组织工程、生物成像和图像信息学、调控基因组学、蛋白质组学、预测毒理学和代谢工程、纳米生物学和微系统、计算生物物理学和综合癌症生物学。该提案旨在扩大十几名培训教师，其中包括过去4年新聘的7名在该领域有活跃研究项目的教师。学生从本科或硕士院校直接申请CSB博士课程，并接受计算和系统生物学领域的多学科和跨学科培训。该提案旨在支持8名学生攻读前两年的博士学位，从而扩展研究轮转和参与独特的项目活动。该计划的独特之处包括：(a)与SBi和参与实验室的多学科和跨学科研究议程密切相关；(b)由结合生物学、工程学、统计学和计算的新发展的跨学科课堂科目形成的独特核心；(c)强化辅导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经验；(d)一个学生积极参与的系列研讨会项目，重点关注麻省理工学院内外的前沿研究；(e)学生和教师参加的年度研讨会和年度务静会，重点是研究、领导和跨学科研究的挑战。

DESCRIPTION (provided by applicant): The objective is to continue development of MIT's interdisciplinary predoctoral graduate 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. The CSB Ph.D. program is a core component of MIT's Computational and Systems Biology Initiative (CSBi;.http://csbi.mit.edu), an institute-wide initiative that spans a variety of collaborative and interdisciplinary research, educational and community efforts 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. Faculty from these departments have research programs spanning a broad set of topics in computational and systems biology, including gene and protein network modeling and reconstruction, cell and tissue engineering, bioimaging and image informatics, regulatory genomics, proteomics, predictive toxicology and metabolic engineering, nanobiology and microsystems, computational biophysics, and integrative cancer biology. This proposal seeks to expand the pool of training faculty by more than a dozen, including 7 faculty newly hired in the past 4 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 to support 8 students for the first two years of the Ph.D., enabling extended research rotations and participation in unique program activities. Unique aspects of the program include: (a) close association with the multi- and inter-disciplinary research agenda of SBi and of the participating labs; (b) a unique core formed from newly developed, inter-disciplinary 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) a seminar series program with active student participation focusing on leading edge research both within and outside of MIT; (e) an annual symposium and an annual retreat with participation of students and faculty focusing on research, leadership, and challenges to interdisciplinary research.