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Kylie Ariel Bemis

Professor · College of Computer Sciences

Northeastern University · United States
Statistical computing environmentsMethods for complex data

简介

Kylie Ariel Bemis is an assistant teaching professor at the Khoury College of Computer Sciences at Northeastern University. She is interested in statistical computing environments and methods for complex data, especially datasets with non-trivial correlation structures or that integrate data from multiple sources In 2019, she joined Northeastern as faculty, where she teaches data science and develops the master's in data science program curriculum. Before teaching, she joined Olga Vitek's lab, the Statistical Methods for Studies of Biomolecular Systems, as a postdoctoral fellow. In 2013, she interned at the Canary Center for Cancer Early Detection at Stanford University, where she developed the Cardinal software package for statistical analysis of mass spectrometry imaging experiments. Whi

教育经历

  • PhD in Statistics, Purdue University
  • MS in Applied Statistics, Purdue University
  • BS in Statistics and Mathematics, Purdue University

数据校验于 9/6/2026数据来源

学生评价

还没有评价。成为第一位分享经验的学生吧。