Interdisciplinary Training in Systems & Biomolecular Data Science

项目摘要/摘要 当代基础研究使用数据密集型方法来解决以下基本问题 在系统层面上出现的生物现象。此应用程序将建立系统和 生物分子数据科学(SBDS)培训计划，作为培养定量、计算和 弗吉尼亚大学(UVA)分析型博士后学生。SBDS培训计划汇集了 UVA医学院、工程学院、数据学院的12个学位授予项目和34名教师导师 科学和艺术与科学。UVA在SBDS中有着丰富的历史，它跨越了几十年的系统生理学 在不同的细胞类型和器官中，从而确保每年有一批竞争激烈的博士前申请者。这个 合作个人在SBDS领域拥有互补的专业知识，并在导师、教育和职业生涯方面有良好的记录 培养博士前学生，科学严谨和透明，以及多样性、公平和包容性。 SBDS培训计划的总体目标是准备下一代跨学科 生物医学科学家在数量生物学、系统生物学、机器学习和 信息学。为期一年的SBDS课程将指导10名二年级博士生外加1名分担费用的学生 学生通过课程作业，关于合作基金会的讨论系列，杂志俱乐部，黑客马拉松，以及 在经过批准的合作导师的实验室中进行80小时的研究沉浸，该导师是对 主要导师。SBDS校友通过与以下机构的持续关系与培训计划保持联系 他们的共同导师和期刊俱乐部对正在进行的研究和后续研究的讨论具有灵活性 申请。该培训计划建立在一次性大数据到知识培训的优势之上 弗吉尼亚大学的赠款，由主任办公室赞助，由 医学。SBDS有健全的评估和传播计划，以确保该计划仿效 敏捷性和多功能性将是其受训人员的特点。

PROJECT SUMMARY/ABSTRACT Contemporary basic research uses data-intensive approaches to address fundamental questions about biological phenomena that emerge at the systems level. This application will establish the Systems & Biomolecular Data Science (SBDS) training program as a hub for cultivating quantitative, computational, and analytic predoctoral students at the University of Virginia (UVA). The SBDS training program brings together 12 degree-granting programs and 34 faculty mentors across the UVA Schools of Medicine, Engineering, Data Science, and Arts & Sciences. UVA has a rich history in SBDS, which spans decades of systems physiology in different cell types and organs, thus ensuring a competitive pool of predoctoral applicants each year. The co-PIs have complementary expertise in the SBDS field and track records in mentorship and education, career development of predoctoral students, scientific rigor and transparency, and diversity, equity, and inclusion. The overarching goal of the SBDS training program is to prepare the next generation of transdisciplinary biomedical scientists at the interface of quantitative biology, systems biology, machine learning, and informatics. The one-year SBDS curriculum will guide 10 second-year Ph.D. students plus one cost-shared student through coursework, a discussion series on collaborative foundations, a journal club, a hackathon, and an 80-hour research immersion in the laboratory of an approved co-mentor who is complementary to the primary mentor. SBDS alumni remain connected to the training program through a sustained relationship with their co-mentor and journal-club flexibility for discussions of research in progress and follow-on fellowship applications. The training program builds upon the strengths of a one-time Big Data to Knowledge training grant at UVA, which was sponsored by the Office of the Director and coordinated by the National Library of Medicine. SBDS has robust plans for assessment and dissemination to ensure that the program emulates the agility and versatility that will characterize its trainees.