About me

Hi! I’m an Assistant Professor of Statistics in the Department of Mathematics and Statistics at Carleton College. I teach statistics at all levels of the curriculum and am passionate about communicating the beauty and power of modern statistical methods to my students. My research focuses on incorporating realistic computation and visualization into the classroom, exploring the potential of visual inference, developing better visualizations to explore complex models, and developing useful and useable R packages.

During fall 2018 teaching the following courses at Carleton:

• Math 215: Introduction to statistics
• Math 315: Bayesian statistics

Past courses that I have taught at Carleton:

• Math 245: Applied regression
• Math 265: Probability
• Math 275: Introduction to statistical inference

• Model Choice and Diagnostics for Linear Mixed-Effects Models Using Statistics on Street Corners

  Details PDF Code Journal

• Variations of Q-Q Plots: The Power of Our Eyes!

  Details PDF Journal

• Are You Normal? The Problem of Confounded Residual Structures in Hierarchical Linear Models

  Details Code Journal

• Upper Midwest Climate Variations: Farmer Responses to Excess Water Risks

  Details PDF

• Understanding Corn Belt farmer perspectives on climate change to inform engagement strategies for adaptation and mitigation

  Details PDF

• Statistics in the data science curriculum

  Fri, Jan 12, 2018, The 2018 Liberal Arts Data Science Workshop

• Training Statisticians to Be Effective Instructors

  Mon, Jul 31, 2017, 2017 Joint Statistical Meetings

• Modules for Infusing Data Science into the Statistics Curriculum

  Mon, May 15, 2017, United States Conference on Teaching Statistics

• Making Decisions with Data: Planning for Collaborative Courses in Data Science

  Sat, Apr 29, 2017, Teagle Hybrid Learning Conference

Let's connect!

• aloy@carleton.edu
• @aloy