上海财经大学 > 科学研究 > 学术交流 > 学术报告
  • 统计与管理学院2018年学术报告第32期

    【主 题】 Big Data Challenges and Opportunities for Statisticians: Experience from Two Biomedical Big Data Research Projects

    【报告人】 Wu Hulin  教授

    The University of Texas Health Science Center at Houston

    【时 间】 2018年07月06日(星期五)16:00-17:00

    【地 点】 上海财经大学统计与管理学院大楼1208会议室

    摘 要】The newly emerging Big Data and Data Science have made a very big splash among academic world, industries and governments. In particular, it has a big impact to the statistical community, since statisticians are traditionally considered as a unique profession to deal with, especially analyze data. There is a potential threat that the emerging professionals of Data Scientists may replace statisticians’ job in the near future. In this talk, I will use two Big Data research projects as examples to share our experience in dealing with Big Data from biomedical research. One example is based on a public genetic database, GEO and another is based on the electronic health record (EHR) Big Data. Through these examples, I’ll discuss the new challenges and new opportunities for statisticians in this new Big Data era. Traditional statistical thinking and culture may need to be changed in order to meet the needs of Big Data analytics.

    嘉宾简介】Wu Hulin教授,于1994年弗罗里达州立大学博士毕业。目前为The University of Texas Health Science Center at Houston生物统计与数据科学系系主任和The Betty Wheless Trotter教授。武教授是美国统计学会会士,美国国家卫生研究院(NIH)基金项目评审委员会常任委员。武教授的研究兴趣包括生物医学和健康科学大数据分析,复杂的高维数据分析、微分方程模型的统计方法和理论,计算系统生物学以及生物信息学在免疫学和传染病上的应用。武教授已在生物统计、生物信息、计算生物学、免疫学及传染病预测等研究领域发表了100多篇研究论文和两本专著。