MSK Computational Biology Summer Program

R25 MSK计算生物学暑期项目：项目摘要/摘要 纪念斯隆·凯特琳癌症中心(MSK)计算生物学暑期项目(CBSP)是 癌症教育研究经验，将使15名计算机科学和应用数学本科生 每年将他们的计算机科学技能应用于癌症实验室和临床研究 MSK教师的导师。计划参与者将在集中参与的实验室中与导师合作 基础和临床研究，在他们的工作中加入了计算元素。CBSP学员也将参加 教育讲座、期刊俱乐部和广泛的研讨会，包括几个以专业人士为重点的研讨会 发展。他们将学习如何融合这些经验教训，在他们的巅峰展示中展示他们的工作 在为期10周的实习结束时工作。 我们预计，对于一些CSBP参与者来说，今年夏天的经历将是他们第一次接触到 癌症生物学、生物医学概念和实验室研究。通过为他们提供集中和 对癌症生物学的强烈接触，我们将确保他们对应用他们的 帮助开发新方法和挖掘数据的计算技能，以深入了解机械和 治疗优势。这个项目的一个主要目标是提高学生对 从事计算生物学家的职业。通过计算机科学和应用数学的战略招聘 本科生和对精心挑选的导师和研究主题的接触，CBSP将提供一条途径 发展未来的计算生物学家，能够为癌症生物学的先锋提供信息。 CBSP将增强学生对癌症、基因组学和学术生物医学研究的知识， 并将通过追求以下具体目标培养人们对肿瘤学领域职业的兴趣： 1.让计算机科学和应用数学的本科生接触到以前很少接触到的知识 生物学在创新的科学研究项目中的作用，这些项目涉及病因、诊断、预防和 癌症的治疗 2.为CBSP学生提供额外的导师，以促进他们的专业发展 以肿瘤学为重点的计算生物学，以培养学员对 学术癌症研究 通过CBSP的曝光，我们希望塑造本科生对 计算生物学应用于癌症研究，因此许多人将在该领域攻读研究生课程。

R25 MSK Computational Biology Summer Program: Project Summary / Abstract The Memorial Sloan Kettering Cancer Center (MSK) Computational Biology Summer Program (CBSP) is a cancer education research experience that will enable 15 computer science and applied math undergraduates per year to apply their computer science skills to cancer-based laboratory and clinical research under the mentorship of MSK faculty. Program participants will work with mentors in laboratories centrally involved in basic and clinical research, with a computational element to their work. CBSP trainees will also attend educational lectures, journal clubs and a wide range of seminars, including several focused on professional development. They will learn how to blend these lessons to present their work in a capstone showcase of their work at the conclusion of the 10-week internship. We anticipate that for some of the CSBP participants, this summer experience will be their first exposure to cancer biology, biomedical concepts, and laboratory research. By providing them with a concentrated and intense exposure to cancer biology, we will ensure that they will have the proper understanding to apply their computational skills to help develop novel methods and mine data for insights toward mechanistic and therapeutic advantages. A key goal of this program is to increase the students' awareness of and interest in careers as computational biologists. Through strategic recruitment of computer science and applied math undergraduates and exposure to carefully selected mentors and research topics, the CBSP will provide a path toward development of future computational biologists capable of informing the vanguard of cancer biology. The CBSP will enhance the students' knowledge about cancer, genomics, and academic biomedical research, and will foster interest in careers in oncologic fields by pursuing the following Specific Aims: 1. Engage computer science and applied math undergraduate students with little previous exposure to biology in innovative scientific research projects that address cause, diagnosis, prevention, and treatment of cancer 2. Provide CBSP students with additional mentorship to promote their professional development within oncology-focused computational biology in order to foster the trainees' interest and engagement in academic cancer research Through the exposure that the CBSP will enable, we expect to shape the undergraduates' perception of computational biology applied to cancer research such that many will pursue graduate studies in this field.