Student Research

Natalie Gibson ‘19
mathematics with a secondary emphasis in environmental science
Predicting Wolf Genetics in Pennsylvania Coyotes. Spring 2019.

Patrick Kuehn ‘19
computer science
An Introduction to KDD (Knowledge Discovery in Databases), 2019

Cori Timney ‘19
computer science and mathematics
The Fairness of Unique Four-Sided Dice. Spring 2019.

Rebecca Drucker ‘18
computer science and mathematics
What Are the Comparative Effects of Metronidazole, Vancomycin and Fidaxomicin on Host Associated Gut Microbial Communities?, Joint work with Gina Lamendella. Summer 2016.

Andrew Guide ‘18
mathematics
Predicting Stream Locations using Random Forest Models. Joint work with Gina Lamenedella. Spring 2018.

Zeph Turner ‘18
mathematics
Predicting Stream Locations using Random Forest Models. Joint work with Gina Lamenedella. Spring 2018.

Veronica Kirchner ‘17
biology and mathematics
Random Forest Models for Microbial Communities. Joint work with Gina Lamenedella. Spring 2017.
Time Series Analysis of Bacterial Communities in Water Systems. Joint work with Gina Lamenedella and Uma Ramakrishnan. Spring 2016
Modeling the degradation potential of groundwater microbial communities using multi-omics data sets. Joint work with Gina Lamendella. Summer 2015

Ethan Farrell ‘15
computer science
Can I Have Your Password?, 2015

Paul Kuhn ‘15
computer science
Telemedicine: Healthcare Enhancing Technology, 2015

Ethan Nichols ‘14
computer science
Active Directory Management Applications, 2014

Zhonghong Tu ‘14
computer science
Data Mining Technologies and User Behavior, 2014

Faculty Research and Exhibitions

Melissa Innerst
Dr. Innerst’s interests include spatial statistics, time series analysis, and computational statistics. Some recent accomplishments:

  • Graduated with a Ph.D. in Statistical Science from Baylor University in Fall 2019
  • Melissa Innerst and co-authors wrote an article on the application of machine learning techniques to the analysis of weather radar data and rainfall area classification.

Loren Rhodes
Dr. Rhodes’s interests include machine learning, information visualization, programming languages, and digital audio. Some recent accomplishments:

  • Loren Rhodes, Bill Thomas, and Jerry Kruse contributed a chapter in the book New Directions for Computing Education titled, "A Capstone Experience in Information Technology"
  • Loren Rhodes attended the International Conference on Data and Databases 2016 in New Delhi, India. This was part of a sabbatical in the creation of a Data Science curriculum at Juniata.

Kimberly Roth
Dr. Roth’s current research interests include statistical techniques for bacterial genomics, Scholarship of Teaching and Learning in mathematics, statistics, and data science, and recreational mathematics. Her recent publications, presentations, and awards include the following:

  • "A Mathematician knits an afghan" Mathematics of Various Entertaining Subjects, New York City, NY. August 2019.
  • Robert V. Hogg Award for Excellence in Teaching Introductory Statistics from the Special Interest Group of the Mathematical Association of America in Statistics Education, January 2019.
  • "Effective Practice and Feedback Methods in Calculus I." with Kristen Camenga, Joint Mathematics Meetings, Baltimore, MD. January 2019.
  • "Bacterial Community Dynamics in Dichloromethane-Contaminated Groundwater Undergoing Natural Attenuation.", Wright Justin, Kirchner Veronica, Bernard William, Ulrich Nikea, McLimans Christopher, Campa Maria F., Hazen Terry, Macbeth Tamzen, Marabello David, McDermott Jacob, Mackelprang Rachel, Roth Kimberly, Lamendella Regina. Frontiers in Microbiology, Volume 8, 2017.