NIH-NSF BBSI on Simulation and Computer Visualization of Biological Systems at Multiple Scales

提案编号：0234002主要研究者：Bahar，Ivet研究机构名称：匹兹堡大学名称：NIH-NSF生物系统多尺度模拟和计算机可视化研究所摘要本项目旨在建立一个生物工程生物信息学暑期研究所（BBSI），名为NIH-NSF生物系统多尺度模拟和计算机可视化研究所。为本科生和研究生提供强大的分析和定量技能，以及在计算生物学，生物工程或生物信息学领域的高潜力。BBSI将是匹兹堡大学（牵头机构）、匹兹堡超级计算中心和迪克讷大学的一个联合项目，还将包括卡内基梅隆大学的教师。这个学术团体的一个主要优势是生物模型和模拟的经验的广度和深度，从分子到多细胞，从分析方法到大规模并行计算。 其目标是：（i）通过一系列跨学科讲座，计算实验室会议和传统本科课程中不可用的独立研究机会，为学生提供独特的培训和研究经验;特别是，提出分子到细胞分析方法的综合观点和预测理论和计算研究所需的基本物理化学，统计力学和动力学原理;（ii）扩阔学生对分子、细胞和系统生物学的后基因组计算和数学研究领域的视野，以及（iii）激励学生追求该领域的职业生涯。 申请人将被接受，从基础生命或物理科学，计算机科学，数学或工程，和三个第一年的研究生。 为期十周的课程将包括六周的讲座和计算机实验室课程，三周的指导研究活动，以及一周的学生演示。 此外，每周一次的系列研讨会将涵盖各种相关主题，由当地或邀请外部专家进行演讲，并讨论科学道德和职业机会。学生组织的期刊俱乐部，以及高年级或研究生参与教学活动将确保有效的沟通，并有助于专业成长。

PROPOSAL NO.: 0234002PRINCIPAL INVESTIGATOR: Bahar, IvetINSTITUTION NAME: University of PittsburghTITLE: NIH-NSF BBSI on Simulation and Computer Visualization of Biological Systems at Multiple ScalesABSTRACT This project is to develop a Bioengineering & Bioinformatics Summer Institute (BBSI) entitled NIH-NSF BBSI on Simulation and Computer Visualization of Biological Systems at Multiple Scales. for undergraduate and graduate students with strong analytical and quantitative skills, and high potential for careers in Computational Biology, Bioengineering, or Bioinformatics. The BBSI will be a joint program of the University of Pittsburgh (lead institution), the Pittsburgh Supercomputing Center, and Duquesne University, and will also include faculty from Carnegie Mellon University. A major strength of this academic community is the breadth and depth of experience with biological models and simulations, from molecular to multicellular, and from analytical approaches to massively parallel computing. The objectives are to: (i) provide students with a unique training and research experience through a series of cross-disciplinary lectures, computational laboratory sessions, and independent research opportunities not available in traditional undergraduate programs; specifically, to present an integrated view of molecular-to-cellular analytical approaches and fundamental physicochemical, statistical mechanical, and kinetic principles needed for predictive theoretical and computational research; (ii) broaden the student's view of post-genomic computational and mathematical research areas in molecular, cellular, and systems biology, and (iii) motivate students to pursue careers in the field(s). Applicants will be accepted, from basic life or physical sciences, computer science, mathematics or engineering, and three first year graduate students. A ten-week program will encompass six weeks of lecture and computer lab coursework, three weeks of mentored research activity, and 1 week of student presentations. In addition, a weekly seminar series will cover a wide variety of related topics with presentations from local or invited outside experts, as well as discussions of scientific ethics and career opportunities. Student-organized journal clubs, and involvement of senior or graduate students in teaching activities will ensure efficient communication and contribute to professional growth.