Dartmouth Training Program in Quantitative Cancer Research

摘要 请求继续支持达特茅斯多学科量化癌症培训方案 研究(TQCR)。TQCR计划旨在提供量化、计算和 生物医学科学为学生准备迎接日益增长的新兴癌症研究图景 以复杂的问题、大数据和多学科团队为特征。在达特茅斯，TQCR计划 将招收来自不同学术背景的研究生实习生，包括计算机科学， 数学、生物、化学和工程学，致力于以癌症为中心的研究活动 一个很强的数量成分。这些申请TQCR支持的研究生候选人将被广泛招募 来自达特茅斯大学四个研究生项目的癌症研究实验室：盖泽尔学院 医学分子与细胞生物学和定量生物医学博士项目 工程学院的博士项目，以及文理学院的计算机科学博士项目。 教师导师包括拥有大量校外资金和良好记录的量化科学家 研究生培训经验和生物医学研究。教员的研究领域包括量化 生物信息学、生物统计学、计算机科学、计算生物学、 基因组学和流行病学。被选中的TQCR学生将参加针对癌症的量化课程 这包括计算机科学、生物信息学、生物统计学、流行病学、癌症生物学和 综合生物医学科学，使它们同时接触跨学科研究和定量方法论 在为期两年的研究金课程中的发展。这反映了我们机构的悠久历史 非常强大的癌症研究和临床项目，主要基于我们全面、 NCI指定的诺里斯·科顿癌症中心。我们的愿景是下一代量化研究人员 需要全面的跨学科培训，以便对未来的理解进步作出有意义的贡献， 预防和治疗癌症。

ABSTRACT Continued support is requested for a multidisciplinary Dartmouth Training Program in Quantitative Cancer Research (TQCR). The TQCR Program seeks to provide cross-training in quantitative, computational, and biomedical sciences to prepare students for the emergent cancer research landscape that is increasingly characterized by complex problems, big data, and multidisciplinary teams. At Dartmouth, the TQCR Program will enlist graduate student trainees from different academic backgrounds, including computer science, mathematics, biology, chemistry, and engineering who are committed to cancer-centered research activities with a strong quantitative component. These graduate student candidates for TQCR support will be recruited broadly from cancer-focused research laboratories across four graduate programs at Dartmouth: The Geisel School of Medicine’s Molecular & Cellular Biology and Quantitative Biomedical Sciences PhD Programs, The Thayer School of Engineering’s PhD program, and The School of Arts and Sciences Computer Science PhD Program. Faculty mentors include quantitative scientists with significant extramural funding and a strong track records of graduate training experience and biomedical research. Research areas of the faculty include quantitative methodology and scientific applications in bioinformatics, biostatistics, computer science, computational biology, genomics, and epidemiology. Selected TQCR students will engage in a cancer-specific, quantitative curriculum that includes courses in computer science, bioinformatics, biostatistics, epidemiology, cancer biology and integrative biomedical sciences, exposing them to both interdisciplinary research and quantitative methodology development over the course of a 2-year fellowship period. This reflects our institution’s long history of exceptionally strong cancer research and clinical programs, largely based on the success of our comprehensive, NCI-designated Norris Cotton Cancer Center. It is our vision that the next generation of quantitative researchers requires comprehensive interdisciplinary training to contribute meaningfully to future progress in understanding, preventing, and treating cancer.