EMSW21-RTG: Research Training Group in Mathematical and Computational Biology

[0354259] keener数学与计算生物学研究培训摘要：研究者及其同事将继续开展数学与计算生物学跨学科研究和培训的综合计划。该计划的目标是通过发起与各种各样的实验室生命科学家的合作研究项目，以及在跨学科研究艺术方面培训年轻数学家和计算科学家，从而在现代生物学的挑战性问题上发挥数学的力量。该研究计划将开发和使用数学和计算模型来研究复杂的生物过程，围绕生物流体、生态学和进化生物学、神经科学和生理学四大研究主题组织。该计划将开始解决更多具有高水平数学技能的人的迫切需求，这些人有能力以重要的方式为生物学和医学意义的许多具有挑战性的问题做出贡献。该项目将影响本科、研究生和博士后水平的年轻数学科学家，并将提供一个跨层次、跨学科合作的环境，而不是例外。研究项目将涉及来自多个领域的研究人员，结果是所有参与者都将接受几个人的指导。支持这项研究的教育和培训活动将包括课程、期刊俱乐部、实验室小组会议（SIG或特殊兴趣小组）、研讨会和讲习班、实验室经验和实习。总之，这些培训工具将有助于培养具有广泛的数学和计算生物学知识以及特定生物学问题专门知识的年轻研究人员。这个项目的长期效果将是培养新一代的应用数学科学家，他们将有效地在传统学科与学术界、工业界和公共部门之间建立桥梁。

0354259 KeenerResearch Training in Mathematical and Computational BiologyAbstract:The investigator and his colleagues will continue development of a comprehensive program of cross-disciplinary research and training in Mathematical and Computational Biology. The goal of this program is to bring to bear the power of mathematics on the challenging problems of modern biology by initiating collaborative research projects with a wide variety of laboratory life scientists and by training young mathematicians and computational scientists in the art of cross-disciplinary research. The research program will develop and use mathematical and computational models to study complex biological processes, organized around four major research themes of biofluids, ecology and evolutionary biology, neuroscience and physiology. This program will begin to address the critical need for more people with high-level mathematical skills who have the ability to contribute in a significant way to the many challenging problems of biological and medical significance. The program will impact young mathematical scientists at the undergraduate, graduate, and postdoctoral levels, and will provide an environment in which collaboration across levels and across disciplines is the norm rather than the exception. Research projects will involve investigators from several fields with the result that all participants will receive mentoring from several individuals. Educational and training activities supporting this research will include coursework, journal clubs, laboratory group meetings (SIG's or Special Interest Groups), seminars and workshops, laboratory experience and internships. Together, these vehicles of training will help to develop young researchers with a broad knowledge of mathematical and computational biology coupled with expertise in specific biological problems. The long-term effect of this program will be to produce a new generation of applied mathematical scientists who will work effectively to build bridges between traditional disciplines and academia, industry and the public sector.