Convergent graduate training in systems biology at Yale

“耶鲁大学系统生物学汇聚训练”计划将训练学生处理当代问题。 整合实验技术的系统生物学方法在生物医学研究中的问题 通过计算和数学建模。受训者将研究动态的、多学科的生物系统 扩展生物网络，跨越从基因到细胞和组织的广泛的时间和长度范围。通过 将创新课程与强制性职业发展活动相结合，以提高他们的 沟通、领导力和职业自我效能感，实习生将进入生物医学劳动力大军并取得 对系统生物学的重大贡献。我们寻求每年5个学生名额的资助，以资助连续两个 每名学员头三年的学习年数，剩下的一年由耶鲁大学资助。学员将进入 通过9个参与的国内部门/计划的培训计划：生物医学工程；机械 工程与材料科学；计算生物学与生物信息学；细胞生物学；遗传学；分子， 细胞与发育生物学；分子生物物理与生物化学；物理学；应用物理学。 学员将通过本国部门/计划和系统生物学来发展学科专业知识。 通过方案课程工作获得知识，采用基于证据的教学方法，如同行学习 以及团队科学，以培养学员跨学科协作和沟通的能力。另外， 有几门课程采用模块化的形式，由背景不同但互补的培训人员共同培训 教书。为了让所有学生掌握相同的知识水平，培训计划提供了初级课程 数学/计算机编程和生物学。学员将完成所有培训计划和部门 课程要求在头两年完成，并将在第一年加入他们的博士论文实验室。因此，培训 该计划不会增加攻读博士学位的时间。该培训计划提供职业发展。 研讨会、特定项目的实习机会、研讨会、推介比赛和其他活动 旨在建立一个有凝聚力的队列。该培训计划与物理课程密切相关， 工程与生物学(PEB)、系统生物学研究所和耶鲁大学数量生物学研究所， 为培训计划提供更大的研究社区。耶鲁大学西校区和PEB将合并 提供额外3个匹配插槽的资源，这将使培训方案总共支持8个 在13-15名培训合格的博士生中，每年有一批学生。培训计划有一个 积极的招聘计划，包括新的和现有的学院/大学合作伙伴(如莫尔豪斯学院， 波多黎各大学、马亚格斯大学和南康涅狄格州立大学)和NSF REU网站，该网站 允许培训计划领导力确定对系统生物学感兴趣的有前途的URM本科生。 此外，该计划具有完善的跟踪和评估组件，可识别和补救任何 问题领域，并确保培训计划目标的实现。

The training program “Convergent Training in Systems Biology at Yale” will train students to tackle contemporary problems in biomedical research using a systems biology approach, which integrates experimental techniques with computational and mathematical modeling. Trainees will investigate biological systems as dynamic, multi- scale biological networks that span a wide range of time and length scales from genes to cells and tissues. By combining innovative coursework with mandatory professional development activities to improve their communication, leadership, and career self-efficacy, trainees will enter the biomedical workforce and make significant contributions to systems biology. We seek funding for 5 student slots per year to fund two consecutive years of the first three years of study per trainee, with Yale funding the remaining year. Trainees will enter the training program through 9 participating home departments/programs: Biomedical Engineering; Mechanical Engineering & Materials Science; Computational Biology & Bioinformatics; Cell Biology; Genetics; Molecular, Cellular, & Developmental Biology; Molecular Biophysics & Biochemistry; Physics; and Applied Physics. Trainees will develop disciplinary expertise through their home department/program, and systems biology knowledge through program coursework, featuring evidence-based teaching methods, such as peer-learning and team science to develop trainees’ ability to collaborate and communicate across disciplines. Additionally, several courses feature a modular format in which trainers with diverse, but complementary backgrounds, co- teach. To bring all students to a common level of knowledge, the training program offers primer courses in mathematics/computer programming and biology. Trainees will complete all training program and departmental course requirements in the first two years and will join their Ph.D. thesis lab in year one. Therefore, the training program does not increase the time to the Ph.D. degree. The training program offers professional development workshops, program-specific internship opportunities, and seminars, pitch competitions, and other activities aimed at building a cohesive cohort. The training program is closely associated with the Program in Physics, Engineering and Biology (PEB), Systems Biology Institute, and Quantitative Biology Institute at Yale, which provide a larger research community for the training program. Yale’s West Campus and PEB will combine resources to provide 3 additional matching slots, which will allow the training program to support a total of 8 students out of the cohort of 13-15 training grant eligible Ph.D. students per year. The training program has a vigorous recruitment plan, which includes new and existing college/university partners (e.g. Morehouse College, University of Puerto Rico, Mayagüez, and Southern Connecticut State University) and an NSF REU Site, which allows the training program leadership to identify promising URM undergraduates interested in systems biology. Additionally, the program has well-developed tracking and evaluation components to identify and remediate any problem areas and ensure that the training program objectives are being achieved.