Research Experience
Internship at USACE ERDC Cold Regions Research and Engineering Laboratory
NSF Mathematical Sciences Graduate Internship, June 2021-August 2021
‣ Explored precision and capability of microbial fuel cells to detect the presence of and distinguish between substrates
‣ Investigated the application of canonical correlation analysis and partial least squares to quantify the relationship between plant and bacterial species in paleosol abundance data
‣ Coding Languages: R and Python
‣ Supervised by Dr. Robyn Barbato (CRREL)Mathematics Education Survey Analysis
University of Nebraska-Lincoln, November 2020-May 2021
‣ Analyzed survey data from students in first-year mathematics courses primarily using factor analysis
‣ Coding Languages: R and Python
‣ Supervised by Dr. Nathan Wakefield (UNL)Research in Rating Theory
University of San Francisco, January 2018-May 2019
‣ We introduced the 'Iterative Elo' rating method and show this method converges, in the natural sense, to its general counterpart ‣ Coding Language: R
‣ Published in the Journal of Quantitative Analysis in Sports and presented at JMM
‣ Research with Dr. Stephen Devlin (USF)Data Science Practicum
University of San Francisco, January 2019-May 2019
‣ Statistical learning applied to marketing analytics data for a nonprofit organization in the Bay Area
‣ Coding Language: Python
‣ Supervised by Dr. Nicholas Ross (USF)REU in Statistical Genetics
Dordt University, June 2018-August 2018
‣ Project Descriptions and Abstracts
‣ Presented poster at the 5th Annual Conference on Constraint-Based Reconstruction and Analysis
‣ Coding Language: R
‣ Supervised by Dr. Nathan Tintle (Dordt)