• B.A., Kenyon College 2002
  • M.S. The Ohio State University 2004
  • Ph.D. The Ohio State University 2013
Areas of Interest

My research focuses around public health and evidence-based medicine, with an ongoing project evaluating the clinical and educational impact of Wooster’s unique Community Care Network program, which pairs patients with undergraduate “Health Coaches”.

I am Co-Director of Wooster’s Applied Methods & Research Experience, a summer consulting service where Wooster students are hired by a local business, industry, or agency. These students work in teams to develop solutions for the client, while gaining valuable industry experience and professional skills.

Additionally, I have an interest in statistics education research and curricular design, and earned a graduate minor in college teaching along with my Ph.D. I believe in including high-impact practices at all levels of the curriculum and I am dedicated to continuously exploring new ways to improve my students’ experience and learning.

Courses Taught
  • Calculus & Analytical Geometry I
  • Introduction to Statistics
  • Applied Statistical Methods
  • Data Visualization
  • Probability Theory (Prob/Stats I)
  • Statistical Theory (Prob/Stats II)
  • First Year Seminar
Independent Study Advising
  • Effect of the Covid19 Pandemic on Different Sectors of the US Economy (Duc Trinh, Statistical & Data Sciences and Business Economics, 2021)
  • Identifying Non-Genetic Predictors of Alcoholism with the Aid of Reweighting Techniques (Trevor Krisan, Math, 2021)
  • Is the Pandemic Racist? Trends in Coronavirus Case Rate and Death Rate in the U.S. (Mian Ahsan Ali, Math, 2021)
  • Statistical and Machine Learning Approaches to Depressive Disorders Among Adults in the United States: From Factor Discovery to Prediction Evaluation (Minhwa Lee, Math and Computer Science, 2021)
  • An Exploration of Retention and Persistence in STEM Fields at The College of Wooster (Harriet Sudduth, Math, 2020)
  • A Theory of Fire Service Provision: with an empirical analysis of response time, suppression time, and service output (Hyong-gu “Alex” Hwang, Math and Economics, 2020)
  • Ordinal Data Analysis: Determining the Effectiveness of Domestic Abuse Intervention in Adolescent Teens (Christian Santos, Math, 2020)
  • The Difficulties of Modeling Virtual Water Using Gravity Models (Hope Hunter, Math, 2019)
  • Gardening Algorithms for the Fruitful Future: Predicting Child Malnutrition Populations Globally (Kory Sansom, Math, 2019)
  • You Are What You Eat: Regression Analysis of the Social Determi- nants of Diet (Callie Ogland-Hand, Math and Sociology, 2019)
  • Understanding Human Well-Being (Scarlett Chen, Math and Philosophy, 2018)
  • An Investigation of Markov Chains and Their Application to Hospital Patient Flow (Sarah Padrutt, Math, 2018)
  • The Wheels on the Bus Don’t Go to Hartzler’s: An Alternate Solution to Wooster Transit Demands (Sam Carlson, Math, 2018)
  • Impact of Mutual Fund Size on Overall Fund Performance (Wenxin Tang, Math and Business Economics, 2018)