Pre-Doctoral Training Program in Computational Medicine

项目摘要 我们将创建约翰·霍普金斯大学“计算医学博士前培训计划”，在 生物信息学和计算生物学的研究领域。参与的科室是生物医学系 工程与应用数学与统计。我们要求每年提供6个博士前培训名额。我们的 学员将学习如何：在健康和疾病中建立生物系统的模型；约束这些模型 使用从患者那里收集的数据；应用模型来提供改进的诊断和治疗。他们会学到 这是通过有重点的课程工作和实验室中的论文研究相结合的方案 教职员工。他们将获得口头陈述、助学金写作和教学方面的经验。他们将接受负责的 开展超越现有产品的研究培训，以满足计算医学的需求 研究人员。他们将成为学生和教职员工社区的一部分。我们将推出新的项目， 通过创建一个做了大量研究的本科生申请者库来增加培训的多样性 与我们的项目教员进行轮换。毕业生将做好充分的准备并受到追捧，以满足日益增长的需求 研究人员在工业界和学术界都接受了计算医学方面的培训。对我们计划的支持将 为实现精准医疗目标贡献力量。

Project Summary We will create the Johns Hopkins University “Pre-Doctoral Training Program in Computational Medicine”, in the research area of Bioinformatics and Computational Biology. The participating departments are Biomedical Engineering and Applied Mathematics & Statistics. We are requesting 6 pre-doctoral training slots per year. Our trainees will learn how to: develop models of biological systems in health and disease; constrain these models using data collected from patients; apply models to deliver improved diagnoses and therapies. They will learn this through a combination of focused course work, and dissertation research in the laboratories of program faculty. They will gain experience with oral presentation, grant writing and teaching. They will receive responsible conduct of research training that goes beyond current offerings to meet the needs of computational medicine researchers. They will be part of a community of students and faculty. We will put in place novel programs that increase diversity in training by creating an applicant pool of undergraduates who have done substantial research rotations with our program faculty. Graduates will be well prepared and sought after to fill the growing need for researchers trained in computational medicine in both industry and academia. Support of our program will contribute to achieving the goal of precision medicine.