Kylie Ariel Bemis

Research interests

• Statistical computing environments
• Methods for complex data

Education

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

Biography

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. While at Purdue University, Bemis served as president of the Purdue chapter of the American Indian Science and Engineering Society and secretary of the Native American Student Association.

In 2015, Bemis was awarded the John M. Chambers Statistical Software Award by the American Statistical Association for her work on Cardinal. She is active in outreach to the Native American and LGBTQ+ communities and is an enrolled member of the Zuni tribe. Her hobbies include writing fiction and poetry.

Projects

Recent publications