Computation and Informatics in Biology and Medicine

项目总结/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： 生物医学信息学和数据科学。我们将继续与Marshfield Clinical合作 研究所（MCRI）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生态系统中奠定职业基础 在华盛顿大学和MCRI的科学研究。 我们将继续专注于为学员提供（1）强大的算法和定量基础， 计算机科学和统计学，（2）对关键生物医学信息学和数据科学的广泛理解 方法和挑战，以及（3）对生物医学背景的深刻理解，跨越光谱 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， 促进人类健康。 我们计划的关键组成部分包括（1）生物医学信息学和数据科学的核心课程， (2)广泛的支持选修课，（3）每周一次的系列研讨会，（4）年度务虚会，（5）严格的培训 在道德和负责任的研究行为，（6）严格的培训方法，以确保再现性， (7)强调招募多样化的受训人员，（8）跨学科的共同导师，（9）年度 与受训人员举行进度会议。 我们在招聘和培养研究生方面取得了巨大成功。就证明了这一点 一些新的教师和其他成功的研究人员，我们已经产生，新的外部发展 资助的多学科研究项目，以及我们在代表性不足的少数民族招聘和 安置我们正在为我们的标准轨道，2个额外的NIAID支持的10个博士前职位 在生物医学信息学和数据科学解决艾滋病毒感染的研究博士前职位，和4 短期实习生职位。 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 生物医学信息学和数据科学的专业知识和实践经验， 计算机科学和统计学，以及这些方法可以应用于 促进生物学发展，改善人类健康。

Project Summary/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 and data science. We will continue our collaboration with the Marshfield Clinical Research Institute (MCRI) 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 MCRI. We will continue our focus on providing trainees with (1) a strong algorithmic and quantitative foundation from computer science and statistics, (2) a broad understanding of the key biomedical informatics and data science methods and challenges, and (3) 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 (1) a core set of courses in biomedical informatics and data science, (2) a broad set of supporting electives, (3) a weekly seminar series, (4) an annual retreat, (5) rigorous training in ethics and the responsible conduct of research, (6) rigorous training in methods for ensuring reproducibility, (7) an emphasis on recruiting a diverse pool of trainees, (8) trans-disciplinary co-mentorship, and (9) annual progress meetings with trainees. We have demonstrated strong success in recruiting and training graduate students. This is evidenced by the number of new faculty and other successful researchers we have produced, the development of new externally funded multi-disciplinary research projects, and our track record in underrepresented minority recruitment and placement. We are asking for 10 predoctoral positions for our standard tracks, 2 additional NIAID-supported predoctoral positions for research in biomedical informatics and data science addressing HIV infection, and 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 and data science, 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.