440 Huntington Avenue
310G West Village H
Boston, MA 02115
ATTN: Kylie Bemis, 202 WVH
360 Huntington Avenue
Boston, MA 02115
Statistical computing environments and methods for big, complex data, especially datasets which have non-trivial correlation structures or which integrate data from multiple sources.
- PhD in Statistics, Purdue University
- MS in Applied Statistics, Purdue University
- BS in Statistics and Mathematics, Purdue University
Kylie Bemis is a Lecturer in the Khoury College of Computer Sciences at Northeastern University. She holds a BS degree in Statistics and Mathematics, a MS degree in Applied Statistics, and a PhD in Statistics from Purdue University. In 2013, she interned at the Canary Center at Stanford for Cancer Early Detection, where she developed the Cardinal software package for statistical analysis of mass spectrometry imaging experiments. In 2015, she was awarded the John M. Chambers Statistical Software Award by the American Statistical Association for her work on Cardinal. In 2016, she joined the Olga Vitek lab for Statistical Methods for Studies of Biomolecular Systems at Northeastern University as a postdoctoral fellow. In 2019, she joined Northeastern as faculty, where she now teaches data science and develops curriculum for the MS in Data Science program.
While at Purdue University, Kylie Bemis served as president of the Purdue chapter of the American Indian Science and Engineering Society (AISES) and secretary of the Native American Student Association (NASA). She is active in outreach to the Native American and LGBTQ communities. She is an enrolled member of the Zuni tribe, and her hobbies include writing fiction and poetry.