CBMS Conference: Mathematical Molecular Bioscience and Biophysics

该奖项支持2019年NSF-CBMS会议“数学分子生物科学和生物物理学”，由亚拉巴马，塔斯卡卢萨大学主办，2019年5月13日至17日。会议将由密歇根州立大学的Wei Guowei教授担任首席讲师。数学分子生物科学和生物物理学是数学与生物学交叉的一个新兴学科，其发展趋势是生命科学从宏观到微观或分子，从定性和现象学到定量和预测。会议将促进生物学研究在分子水平上解决前沿问题，使数学在解决分子生物科学和生物物理学的基本挑战方面发挥更重要的作用。本次会议包括十个主要讲座，以及其他专家的补充报告和圆桌讨论。会议旨在吸引许多初级数学家，包括本科生和研究生，博士后研究员和年轻教师，进入这个新的跨学科领域。此外，会议将有利于主办大学加强其研究计划，提高其知名度，以同行机构在东南地区。数学分子生物科学和生物物理学（MMBB）关注数学理论，模型，方法，方案和算法的发展，用于阐明分子机制和解决分子生物科学和生物物理学前沿的开放问题。讲座系列将提供一个全面的概述MMBB文献的数学和生物学会。数学的许多领域，包括微分方程，泛函分析，调和分析，李群，李代数，几何，图论，拓扑学，组合学，多尺度建模，逆问题，优化，机器学习，随机分析，不确定性量化，模糊逻辑，统计推断和非参数回归，已经发现了重要的应用在MMBB和许多成功的应用将在这次会议上说明。生物开放的问题在MMBB的最前沿，如与药物设计和发现，这将刺激新的研究方向，在建模和计算的生物分子结构，功能，动力学和运输，将被确定。欲了解更多信息，请参阅会议网页：http://cbms.ua.eduThis奖反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

This award supports the 2019 NSF-CBMS conference "Mathematical Molecular Bioscience and Biophysics," hosted by University of Alabama, Tuscaloosa, during May 13-17, 2019. The conference will feature Professor Guowei Wei of Michigan State University as the Principal Lecturer. Mathematical molecular bioscience and biophysics has been emerging as a promising interdisciplinary research area at the interface of mathematics and biology, driven by the trends of contemporary life sciences that transform biosciences from macroscopic to microscopic or molecular, and from qualitative and phenomenological to quantitative and predictive. The conference will promote biological studies for solving cutting edge problems at molecular level, so that mathematics can play a more important role in addressing fundamental challenges in molecular biosciences and biophysics. This conference consists of ten principal lectures, together with supplemental presentations by other experts and round table discussions. The conference aims to attract many junior mathematicians, including undergraduate and graduate students, postdoctoral fellows, and young faculty, to enter this new interdisciplinary field. In addition, the meeting will benefit the hosting university by enhancing its research program and raising its visibility to peer institutes in the southeastern region. Mathematical Molecular Bioscience and Biophysics (MMBB) concerns the development of mathematical theories, models, methods, schemes, and algorithms for elucidating molecular mechanisms and for solving open problems at the forefront of molecular biosciences and biophysics. The lecture series will provide a thorough overview of the MMBB literature to mathematical and biological societies. Numerous areas of mathematics, including differential equations, functional analysis, harmonic analysis, Lie groups, Lie algebras, geometry, graph theory, topology, combinatorics, multiscale modeling, inverse problems, optimization, machine learning, stochastic analysis, uncertainty quantification, fuzzy logic, statistical inference, and nonparametric regression, have found important applications in MMBB and many successful applications will be illustrated in this conference. Biological open problems at the forefront of the MMBB, such as those associated with drug design and discovery, which will stimulate new research directions in modeling and computation of biomolecular structure, function, dynamics and transport, will be identified. For more information, please refer to the conference webpage: http://cbms.ua.eduThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.