Computation and Informatics in Biology and Medicine

生物学和医学中的计算和信息学

• 批准号: 10200888
• 负责人: Mark W. Craven
• 金额: $ 112.86万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-01 至 2022-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10200888
• 关键词: Algorithms; Area; Big Data; Big Data to Knowledge; Biochemistry; Biological; Biology; Cancer Center; Chemicals; Clinical Research; Collaborations; Country; Data Science; Data Scientist; Degree program; Development; Discipline; Ecosystem; Engineering; Environmental Exposure; Ethics; Expenditure; Faculty; Foundations; Funding; Genetic; Genome; Grant; Health; Human; Image Analysis; Industry; Informatics; Institutes; Interdisciplinary Study; Medicine; Mentorship; Methods; Minority Recruitment; Phenotype; Positioning Attribute; Postdoctoral Fellow; Public Health Informatics; Reproducibility; Research; Research Personnel; Research Project Grants; Science; Scientist; Series; Solid; Training; Training Programs; Translational Research; United States National Institutes of Health; Universities; Wisconsin; bioimaging; biomedical data science; biomedical informatics; career; computer science; experience; graduate student; improved; insight; meetings; next generation; patient population; post-doctoral training; pre-doctoral; programs; recruit; responsible research conduct; statistics; success

Abstract The University of Wisconsin’s (UW) Computation and Informatics in Biology and Medicine (CIBM) training program is proposing to continue training the next generation of scientists with deep and broad expertise in biomedical informatics. We will extend our prior collaboration with the Marshfield Clinical Research Foundation (MCRF) as a partner in the training grant, and we will enable our trainees to develop their expertise and establish the foundations of their careers within a vibrant ecosystem of biomedical and data science research at UW and MCRF. The University of Wisconsin ranks fourth nationally in research expenditures with an externally funded research portfolio exceeding $1B/year. A significant fraction of this research is in the biomedical sciences and related areas, and a number of departments involved in CIBM are regularly in the ‘top ten’ lists in various rankings, including Computer Sciences, Genetics, Biochemistry, Statistics, Chemical and Biological Engineering, and others. The CIBM program also has close relationships to the Center for Predictive Computational Phenotyping (an NIH BD2K Center of Excellence for for Big Data Computing), the Institute for Clinical and Translational Research (a NIH/NCATS funded CTSA), the Carbone Cancer Center, and the Genome Center of Wisconsin. Our trainees benefit from affiliations and involvement in research projects in these and other units at UW and MCRF. We will continue our focus on providing trainees with (i) a strong algorithmic and quantitative foundation from computer science and statistics, (ii) a broad understanding of the key biomedical informatics methods and challenges, and (iii) a solid understanding of the biomedical contexts, spanning the spectrum from molecules to populations of patients, in which methods from informatics can be applied to gain insight and advance human health. Key components of our program include (i) a core set of courses in biomedical informatics, (ii) a broad set of supporting electives, (iii) a weekly seminar series, (iv) an annual retreat, (v) rigorous training in ethics and the responsible conduct of research, (vi) trans-disciplinary co-mentorship, and (vii) annual progress meetings with trainees. We have demonstrated strong success in recruiting and training graduate students and postdoctoral fellows. This is evidenced by the number of new faculty and other successful professionals we have produced, the development of new externally funded multi-disciplinary research projects, and our track record in minority recruitment and placement. Recent and forthcoming additions to our program include several new faculty trainers, a new MS degree program in Biomedical Informatics, stronger ties with local industry, and new courses in data science, reproducible research, biomedical image analysis, health informatics and responsible conduct of research for data scientists. We are asking for 9 predoctoral positions and 6 postdoctoral training positions for our standard tracks, with 2 additional postdoctoral positions for our environmental exposures track. We are also requesting 4 short-term trainee positions. The CIBM program is well positioned to serve the country with highly trained researchers who have significant expertise and practical experience in biomedical informatics, the foundational disciplines of computer science and statistics, and the biomedical contexts in which these methods can be applied to advance biology and improve human health.

摘要 威斯康星州大学（UW）生物学和医学计算与信息学（CIBM）培训 该计划建议继续培养下一代科学家，他们在以下方面具有深厚而广泛的专业知识： 生物医学信息学我们将扩大与马什菲尔德临床研究中心的合作 基金会（MCRF）作为培训补助金的合作伙伴，我们将使我们的学员能够发展他们的专业知识 并在充满活力的生物医学和数据科学生态系统中奠定职业基础 在UW和MCRF的研究。威斯康星州大学在研究支出方面排名全国第四， 外部资助的研究组合超过10亿美元/年。这项研究的一个重要部分是在 生物医学科学和相关领域，以及一些涉及CIBM的部门经常在“顶部 在各种排名中，包括计算机科学，遗传学，生物化学，统计学，化学和 生物工程及其他CIBM计划也与该中心有着密切的关系， Predictive Computational Phenotyping（NIH BD 2K大数据计算卓越中心）， 临床和转化研究所（NIH/NCATS资助的CTSA），Carbone癌症中心， 和威斯康星州的基因组中心。我们的学员受益于隶属关系和参与研究 项目在这些和其他单位在UW和MCRF。 我们将继续专注于为学员提供（i）强大的算法和定量基础， 计算机科学和统计学，（ii）对关键生物医学信息学方法的广泛理解， 挑战，以及（iii）对生物医学背景的扎实理解，涵盖从分子到 患者群体，其中信息学的方法可以应用于获得洞察力和提高人类 健康我们计划的关键组成部分包括（i）生物医学信息学的核心课程，（ii）广泛的 一套配套选修课，（iii）每周系列研讨会，（iv）年度务虚会，（v）严格的道德培训 和负责任的研究行为，（vi）跨学科的共同导师，（vii）年度进展 与受训人员会面。 我们在招聘和培养研究生和博士后研究员方面取得了巨大成功。 这是证明了新的教师和其他成功的专业人士，我们已经产生， 开发新的外部资助的多学科研究项目，以及我们在少数民族方面的记录 征聘和安置。 最近和即将加入我们的计划包括几个新的教师培训师，一个新的硕士学位， 生物医学信息学计划，与当地行业的更紧密联系，以及数据科学的新课程， 可重复的研究，生物医学图像分析，健康信息学和负责任的研究行为， 数据科学家 我们要求9个博士前职位和6个博士后培训职位，为我们的标准轨道，与2 我们的环境暴露跟踪的额外博士后职位。我们还要求4个短期 实习职位。 CIBM计划定位良好，可以为国家提供训练有素的研究人员，他们具有重要的 生物医学信息学，计算机科学的基础学科的专业知识和实践经验 和统计学，以及这些方法可以应用于推进生物学和 改善人类健康。