Integrative and Quantitative Biosciences Accelerated Training Environment

综合和定量生物科学加速培训环境

• 批准号: 10270517
• 负责人: Peng Qiu
• 金额: $ 13.78万
• 依托单位: GEORGIA INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10270517
• 关键词: Biological Sciences; Environment; Training

Abstract The InQuBATE T32 at the Georgia Institute of Technology will support the integrated training of interdisciplinary Ph.D. students advancing the integrative study of living systems enabled by high- dimensional data analytics and computational models. Student-driven discoveries will broaden the knowledge-base of living systems to address foundational challenges of biomedical relevance spanning molecules, cells, to populations (whether in biofilms amongst population of microbes or between eukaryotic cellular assemblages from tumor microenvironments to cardiac tissue). T32 trainees and affiliates will learn to reason quantitatively about living systems given uncertainty, implement rigorous data analytic principles and algorithms as computational software, extract information and insights from high-dimensional bioscience data sets, and communicate the relevance of their findings to advancing basic research and industrial applications. Outreach will focus on junior- and senior-level undergraduates at local and national institutions as a means to enhance the pipeline of diverse students entering interdisciplinary bioscience Ph.D.-s. The translation of core discoveries into industrial and translation applications will be facilitated by industry engagement events where trainees will acquire practical management and leadership skills, applied data analytics training, and will expand their professional networks via direct interactions with industry leaders via multiple industry partners. Overall, the InQuBATE T32 will transform the core set of competencies of Ph.D. students across the spectrum of bioscience, bioengineering, and data science disciplines. In doing so, the T32 program will integrate best practices from bioscience, computing, and engineering disciplines, train the next generation of biomedical scientists to harness the data revolution, and enable trainees to initiate dynamic careers aimed at understanding the structure and dynamics of living systems and their impacts on human health and well-being.

摘要 佐治亚理工学院的InQuBATE T32将支持 跨学科博士生推进生命系统的综合研究 维度数据分析和计算模型。学生推动的发现将扩大 生命系统的知识库，以应对生物医学相关性的基本挑战 跨越分子、细胞到种群(无论是在微生物种群的生物膜中还是 从肿瘤微环境到心脏组织的真核细胞组合之间)。T32 受训者和附属机构将学习在给定不确定性的情况下对生命系统进行定量推理， 执行严格的数据分析原则和算法作为计算软件，摘录 来自高维生物科学数据集的信息和见解，并传达 他们的发现与推进基础研究和工业应用的相关性。外展将 把重点放在地方和国家机构的初级和高级本科生身上，作为一种手段 加强不同学生进入跨学科生物科学博士的渠道-S。这个 将通过以下方式将核心发现转化为工业和翻译应用程序 行业参与活动，学员将获得实际的管理和领导力 技能、应用数据分析培训，并将通过直接 通过多个行业合作伙伴与行业领导者互动。总的来说，InQuBATE T32将 改变生物科学领域博士生的核心能力， 生物工程和数据科学学科。在这样做的过程中，T32程序将最好地集成 来自生物科学、计算和工程学科的实践，培养下一代 生物医学科学家利用数据革命，使学员能够发起动态 旨在了解生命系统的结构和动态及其影响的职业 关于人类的健康和福祉。