3名MSS学生赢得大数据竞赛-新东方前途出国

　　3 MSS Students Win Big Data Competition

　　3名MSS学生赢得大数据竞赛

　　Thursday, February 20, 2020 Eduardo Coronado, Bin Han, and Sam Voisin—all Master's in Statistical Science students—won first-place honors at the 2020 Big Data Health Science Case Competition. The competition included 18 teams from across the country and was held at the University of South Carolina on February 7–9, before the National Big Data Health Science Conference. “Winning this event demonstrates that our students are trained well in not only statistical methodologies, but also are trained to communicate well,” said Sudipta Dasmohapatra, director of the MSS program. “The students presented their findings to a panel of industry and academic professionals—this is a showcase of how students are able to apply theories that they have learned in a classroom setting to a real-world business scenario. These students work under pressure to build models, as well as showed their critical thinking, team work, and leadership skills.” During the competition, the teams worked to develop a solution to a case inspired by real-life events that occurred in January 2005. Two trains collided outside in Graniteville, South Carolina, exposing nearby residents to dangerous chlorine gas. The residents had to be quarantined and quickly triaged en masse. Coronado, Han, and Voisin explained that their solution prioritized usability and balanced accuracy, interpretability, and scalability. They used machine learning methods, including K-means and Random Forests, as well as metrics like Hamming distance and time complexity, all while using as few inputs as possible via mobile platforms that could work alongside existing systems. “This was a great opportunity to put the skills we've learned in class to the test in something that can have a real impact,” the team said. “It forces you to think outside the box and consider all aspects other than just the model/algorithm which is common a classroom or project setting. Winning the competition means that our method provided a viable new technology that could be used in real-life to improve patient care and save lives.” The three team members will split a $3,000 first-place prize.

　　2020年2月20日，星期四，Eduardo Coronado，Bin Han和Sam Voisin所有统计科学硕士生在2020年大数据健康科学案例竞赛中获得第一名。比赛包括来自全国各地的18支队伍，在国家大数据健康科学会议之前，于2月7-9日在南卡罗来纳大学举行。MSS项目主管Sudipta Dasmohapatra说：“这次活动的成功表明，我们的学生不仅在统计方法方面受过良好的训练，而且在沟通方面也受过良好的训练。”。“学生们向一个由工业和学术专业人士组成的小组展示了他们的发现这是一个展示学生如何将他们在课堂上学到的理论应用到真实商业场景中的展示。这些学生在建立模型的压力下工作，并展示了他们的批判性思维、团队合作和领导能力。”在比赛期间，各小组努力为2005年1月发生的真实事件所激发的案例制定解决方案。两列火车在南卡罗来纳州的Graniteville外相撞，使附近居民暴露在危险的氯气中。居民们必须被隔离，并迅速进行集体分类。Coronado、Han和Voisin解释说，他们的解决方案优先考虑可用性和平衡的准确性、可解释性和可伸缩性。他们使用机器学习方法，包括K-均值和随机森林，以及汉明距离和时间复杂度等指标，同时通过可与现有系统协同工作的移动平台使用尽可能少的输入。“这是一个很好的机会，让我们在课堂上学到的技能能够得到检验，从而产生真正的影响，”该小组说。“它迫使你跳出框框，考虑所有方面，而不仅仅是课堂或项目环境中常见的模型/算法。赢得比赛意味着我们的方法提供了一种可行的新技术，可以在现实生活中用于改善病人护理和挽救生命。”三名队员将分享3000美元的一等奖。

　　MSS Presentation

　　MSS演示

　　MSS Award Presentation

　　MSS颁奖典礼