Heather Mathews

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Heather Mathews

Duke University

Statistical Science PhD Student


Recieved my BS in mathematics and statistics with a co-major in predictive analytics from Miami University in 2017. Currently, I am a first year Statistical Science PhD student at Duke University

Research and Work Experience

  • DUKE UNIVERISTY Durham, North Carolina August 2017 - Present Teaching Assistant:
    • Runs lab for introductory statistics course for Economics majors
  • CINCINNATI CHILDREN’S HOSPITAL Cincinnati, Ohio Summer 2016-May 2017 SURF (Summer Undergraduate Research Fellowship): Biostatistics Internship
    • Performed subgroup analysis by implementing various machine learning algorithms such as virtual twin, model based partitioning, and logistic
    • Created a new algorithm to identify subgroups that utilizes random forests. Working to determine a method to find optimal cut points
    • Presented in SURF poster session for Cincinnati Children’s Hospital faculty
  • COLUMBIA UNIVERSITY Mailman School of Public Health, New York Summer 2015 CSIBS (Columbia University’s Summer Institute for Training in Biostatistics) Participant
    • Utilized logistic regression to create a model to predict the probability of a positive genetic test result for cardiomyopathy patients based on patient age at diagnosis, sex, family history, and ethnicity
    • Learned to deal with missing data. Used Chi-squared tests to determine if the missing data was random • Created a predicted data set to identify trends and predictions
    • Presented research at poster session for Columbia University faculty and students
  • MIAMI UNIVERSITY Oxford, Ohio Independent Study (Mentor: A. John Bailer) September 2015 – August 2017
    • Surveyed and analyzed the various methods of data visualization used in Gerontology journals and determined the effectiveness of these various methods. Made suggestions to improve data visualization techniques.
  • Government Relations Network Alternative Spring Break Conference March 2016
    • Selected to travel to Washington D.C. and to Columbus, Ohio to meet with members of the Senate and the House of Representatives to promote the benefits of undergraduate research
    • Presented data visualization research in two poster sessions, one in Washington D.C. and one in Columbus, Ohio
  • SUMSRI (Summer Undergraduate Mathematics and Science Research Institute) Participant Summer 2014
    • Researched in the field of abstract algebra with a focus on groups with context-free co-word problem and presented research to faculty members
    • Used brute force methods to create a push down automaton to investigate Thompson’s group V
    • Presented research at the poster session for the Joint Mathematics Meetings in San Antonio, Texas in January 2015, Groups with Context-Free Co-Word Problem and Embeddings into Thompson’s Group V

-Resident Assistant August 2014 –May 2016

  • Built community to promote friendship and responsibility among residents
  • Planned programs under a budget and led hall meetings/events
  • Dealt with conflict and assisted residents in times of crisis

Honors and Awards

-Magna cum Laude -Provost’s Student Academic Achievement Award Recipient 2016: Given to select students from the university who have demonstrated outstanding academic excellence and who have made notable contributions to their department -Member of Phi Beta Kappa (inducted Spring 2017) -DataFest winner for best data visualization -Member of Pi Mu Epsilon (2014-Present) and National Society of Leadership and Success (2014-Present) -Member of the American Statistical Association
-Pi Mu Epsilon Award for Academic Achievement


  • Student Advisory Board Undergraduate Representative for the Department of Statistics: August 2015-May 2017 Cofounder, President of Miami University StatHawks, student chapter of American Statistical Association August 2015-May 2017
  • Event coordinator for alcohol alternative programming for residence halls August 2015-May 2016
  • College Ambassador for Miami University’s College of Arts and Sciences


  • Mathews, H., Yamashita T., Kunkel S. and Bailer, A.J.: Visualizing data from gerontology research: current practice, guiding principles and suggested alternatives.
  • Mathews, H., Huang, B.: Finding optimal cuts for influential covariates in subgroup analysis.
  • Fry, Dana, Gillings J., Mathews H., Berns-Zieve R., Hoganson H.: Groups with context-free co-word problem and embeddings into Thompson’s group V [arXiv:1407.7745]