Graduate Training in Computational and Systems Biology

描述(由申请者提供)：目标是继续发展麻省理工学院计算与系统生物学(CSB)的跨学科博士前研究生培训计划，该计划旨在培养学生成为生物、计算和工程领域的生物医学研究的领导者。CSB博士项目是麻省理工学院计算和系统生物学倡议(CSBi；.http://csbi.mit.edu)，)的核心组成部分，这是一项研究所范围的倡议，涵盖了该领域的各种协作和跨学科研究、教育和社区努力。该计划的教员集中在三个创始系--生物工程(BE)、生物学和电气工程与计算机科学(EECS)--其他系的教员也参与其中。这些系的教师在计算和系统生物学方面拥有广泛的研究项目，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、调节基因组学、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。这项提议寻求将培训教员队伍扩大十几人，其中包括过去4年新聘用的7名在该领域拥有活跃研究计划的教员。学生直接从本科或硕士院校申请CSB博士项目，并接受计算和系统生物学领域的多学科和跨学科培训。该提案寻求在博士学位的头两年支持8名学生，允许延长研究轮换和参与独特的项目活动。该计划的独特之处包括：(A)与印度国家统计局和参与实验室的多学科和跨学科研究议程密切联系；(B)由新开发的、结合了生物学、工程学、统计学和计算的跨学科课堂科目形成的独特核心；(C)密集的咨询和多学科论文委员会，以优化不同学术背景的学生的培训体验；(D)一系列研讨会，学生积极参与，重点是麻省理工学院内外的前沿研究；(E)每年一次的研讨会和一次年度务虚会，学生和教职员工参加，重点是研究、领导能力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.