Dr. Kimberly Roth

Professor

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Biography

Kim Roth is a Teaching Professor of Statistics at Pennsylvania State University. She received her Ph.D. in Mathematics from Penn State in 2002 and completed her Master’s in Applied Statistics through Penn State’s World Campus in 2016. Kim holds a Bachelor’s degree in Mathematics with a minor in Computer Science from Oberlin College, completed in 1996. During the 1996-1997 academic year, she studied at Budapest Semesters in Mathematics. Her research focuses on statistical techniques for microbiome analysis, and she is an active member of the genomics lab led by Regina Lamendella at Juniata College. Roth’s interests span across Statistics, Data Science, Mathematics Education, and the intersection of Art and Data visualization. She has contributed significantly to the field as an associate editor for the College Mathematics Journal and is part of the editorial board for Scatterplot: MAA Journal of Data Science. Before joining Penn State, she was a Professor of Statistics and Mathematics at Juniata College, where she also helped establish their Data Science program. Roth has received multiple awards for her contributions including the Beachley Award for Distinguished Service and the SIGMAA Statistics Data Science Education Distinguished Faculty Mentor Award.

Research Interests

Awards

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Beachley Award for Distinguished Service

2023-01-01
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Dex Whittinghill Award

2022-01-01
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SIGMAA Statistics Data Science Education Distinguished Faculty Mentor Award

2022-01-01
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Robert V. Hogg Award for Excellence in Teaching Introductory Statistics

2019-01-01
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SIGMAA Statistics Data Science Education Service Award

2017-01-01

Requirements for Pennsylvania State University

Doctorate Program
Requirements
GPA Requirement
Required:3
TOEFL
Writing
Required:24
Speaking
Required:23
Total
Required:100
IELTS
Writing
Required:7
Speaking
Required:7
Overall
Required:7
GRE General
Prerequisites
Master's degree in related field for PhD Baccalaureate degree from accredited institution
Application Checklist
  • Three letters of recommendation
  • Statement of Purpose
  • Writing Sample
  • Official Transcripts
  • Resume/CV
Specialization Notes

GRE scores are highly recommended but not strictly required for Applied Linguistics.