Teaching

In each course, I strive to cultivate an inclusive and equitable classroom and to ground the methodology in data ethics.

Macalester College

STAT/COMP 112: Intro to Data Science

  • Topics: Foundational Data Visualization & Data Wrangling
  • [F22], [S23], [F23]

STAT 155: Intro to Statistical Modeling

  • Topics: Linear & Logistic Regression Models, Uncertainty (hypothesis testing, confidence intervals)
  • Course notes in collaboration with Leslie Myint and Kelsey Grinde
  • [F18], [F19], [F20]

STAT 253: Statistical Machine Learning

  • Topics: Regression, Classification, Clustering
  • Textbook: An Introduction to Statistical Learning by James, Witten, Hastie, and Tibshirani
  • [F21], [S24]

STAT 452: Correlated Data

  • Topics: Covariance/Correlation functions and matrices, time series (ARMA models), longitudinal (marginal and mixed effects models), spatial
  • Course notes
  • [S19], [F19], [S22],[F23]

STAT 455: Mathematical Statistics

  • Topics: Properties of estimators, Estimation techniques, mathematical properties of uncertainty estimates
  • [S19]

STAT/COMP 456: Projects in Data Science

  • Topics: Advanced DS skills, Data Science process
  • [S23]

Williams College

STAT 101: Elementary Statistics & Data Analysis

  • Textbook: Intro Stats by De Veaux, Velleman, and Bock

STAT 201: Statistics & Data Analysis

  • Textbook: Stats: Data and Models by De Veaux, Velleman, and Bock

STAT 202: Introduction to Statistical Modeling

  • Textbook: Stat2 by Cannon et al.

STAT 10: Data Visualization

  • Winter Study course
  • Textbooks: ggplot2 by Hadley Wickham, Interactive Data Visualization for the Web: An Introduction to Designing with D3 by Scott Murray

STAT 355: Multivariate Data Analysis

  • Textbook: An Introduction to Statistical Learning by James, Witten, Hastie, and Tibshirani

STAT 346: Regression and Forecasting

  • Textbook: Applied Linear Regression Models by Kutner, Nachtsheim, and Neter

STAT 372: Longitudinal Data Analysis

  • Developed course materials

STAT 442: Data Mining and Computational Statistics

  • Textbooks: An Introduction to Statistical Learning by James, Witten, Hastie, and Tibshirani and Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy by Cathy O’Neil

University of California Berkeley

STAT 2: Introduction to Statistics

  • Instructor
  • Textbook: Statistics by Freedman, Pisani, and Purves

STAT 153: Introduction to Time Series

  • Graduate Student Instructor (Supervisor: Adityanand Guntuboyina)
  • Textbook: The Analysis of Time Series, An Introduction by Chris Chatfield

STAT 153: Introduction to Time Series

MATH 10: Methods of Mathematics

  • Graduate Student Assistant, Curriculum Development
  • Supervisors: Lior Patcher, Bernd Sturmfels

Exploration in Statistics

  • Graduate Student Instructor
  • Supervisors: Deborah Nolan, Duncan Temple Lang, Mark Hansen, Steve Sain