Biomedical Informatics and Data Science Training at Yale

项目摘要/摘要 耶鲁大学生物医学信息学和数据科学培训计划-由教授指导。辛西娅·勃兰特和 Mark Gerstein-拥有来自12个系和5个学院的33名核心教员，总部设在耶鲁大学 耶鲁大学医学信息学(YCMI)和计算生物学和生物信息学(CBB)项目。这个 课程和师资反映了耶鲁大学合作生物医学信息学研究的多样性和深度 环境。我们继续专注于以下信息学和数据科学领域的培训：1)健康 护理/临床信息学，2)翻译生物信息学，和3)临床研究信息学。 此次续订对我们的培训计划进行了主要增强，包括(1)基于以下内容的更新课程 学员和教职员工的评估和反馈，以及许多新的数据科学、计算机科学和 信息学课程；(2)教师领导和与大学科学倡议的整合，如新的 数据科学研究所与生物医学数据科学(CBDS)相关中心和一名新的 健康信息学科学，所有这些都导致雇佣了许多额外的教员，并提供了 研究合作的机会。博士前培训主要在耶鲁大学的院系间进行 计算生物学和生物信息学博士课程(CBB)。该计划于2002年启动， 已经毕业了56名博士，其中许多人现在是各自领域的领军人物。博士后研究员 健康专业或信息学以外的科学领域的博士学位将注册以下课程之一 三个以研究为导向的研究生课程：CBB(攻读硕士或博士学位)，临床信息学课程 健康科学硕士(MHS)学位和耶鲁大学公共卫生学院健康信息学硕士学位。 已经拥有信息学或密切相关领域博士学位的博士后实习生可能不会 需要信息学或数据科学方面的额外培训。我们博士后培训的重点是确定 一个或两个可以独立进行的研究项目(在教员的监督下)，这将 结果是出版和赠款申请。我们计划的总体目标是为所有学员提供 在生物医学领域从事富有成效的学术和研究事业所需的背景和经验 信息学和数据科学。我们项目的申请者数量和质量每年都在增长， 我们积极努力增加博士后和博士后学员以及核心教员的多样性，并取得了越来越大的成功。我们是 请求支持9名博士后实习生和8名博士后实习生(包括2名关注艾滋病毒的实习生)。我们有一个 由资金雄厚、技能高超、经验丰富的导师和教育工作者组成的核心教职员工团队。这个 耶鲁大学的生物医学信息学和数据科学活动为学员提供了许多工作机会 使用大型生物医学数据集并解决关键研究问题的跨学科项目。

PROJECT SUMMARY/ABSTRACT The Yale Biomedical Informatics and Data Science Training Program—directed by Profs. Cynthia Brandt and Mark Gerstein— with 33 core faculty from 12 departments and five schools, is based in the Yale Center for Medical Informatics (YCMI) and the Computational Biology and Bioinformatics (CBB) Program at Yale. The program and faculty reflect the diversity and depth of Yale’s collaborative Biomedical Informatics research environment. We continue our training focus on the following informatics and data science areas: 1) health care/clinical informatics, 2) translational bioinformatics, and 3) clinical research informatics. This renewal features key enhancements to our training program including (1) an updated curriculum based on the evaluation and feedback of trainees and faculty, with many new data science, computer science, and informatics courses; (2) faculty leadership and integration with university science initiatives such as a new Institute of Data Science with an associated Center for Biomedical Data Science (CBDS) and a new Master of Science in Health Informatics, all of which have resulted in hiring many additional faculty and provided opportunities for research collaborations. Predoctoral training is carried out primarily in Yale’s interdepartmental PhD program in Computational Biology and Bioinformatics (CBB). This program was inaugurated in 2002 and has graduated over 56 PhDs many of whom are now leaders in their respective fields. Postdoctoral fellows with a doctoral degree in the health professions or in an area of science other than informatics will enroll in one of three research-oriented graduate programs: CBB (study for an MS or PhD), the Clinical Informatics track in the Master of Health Science (MHS) degree, and the MS in Health Informatics at the Yale School of Public Health. Postdoctoral trainees who already have a doctoral degree in informatics or a closely related field, may not require additional training in informatics or data science. The focus of our postdoctoral training involves defining one or two research projects which can be carried out independently (under faculty supervision) and that will result in publications and grant applications. The overall goal of our program is to provide all trainees with the necessary background and experience to pursue productive academic and research careers in Biomedical Informatics and Data Science. Each year the number and quality of applicants to our programs have grown and we actively work to increase diversity in Pre and Postdoc trainees and core faculty with growing success. We are requesting support for 9 predoctoral trainees and 8 postdoctoral trainees (including 2 with HIV focus). We have a core group of faculty who are well-funded, highly skilled and experienced as mentors and educators. The Biomedical Informatics and Data Science activities at Yale provide many opportunities for trainees to work on interdisciplinary projects that use large biomedical data sets and tackle key research questions.