I treasure and enjoy my role as a teacher. My hope is to bring clarity, curiosity, and interest to the fields of statistics and data science. Many of my mentors and instructors conveyed a great love and passion for their work which instilled in me a general respect and appreciation for their field. To the undergraduates, while many will not become statisticians or data scientists, I hope to provide a similar impression of statistics or data science – showing how the fields impact them in a practical way and the importance of obtaining a basic understanding regardless of their field of interest. For the graduate students, I hope to teach, advise, and mentor them as they develop into mature researchers with sound knowledge, clear thinking, and unbounded curiosity.


Department of Statistics, University of Wisconsin-Madison
Statistical Consulting (STAT 998, MS/PhD), Fall 2023 (upcoming)
Data Science Modeling I (STAT 240, UG), Fall 2020, Spring 2021, 2022

Department of Statistics & Data Science, Yale University
YData: An Introduction to Data Science (S&DS 123/523, UG), Spring 2019, Spring 2020
YData: ExoStatistics: Exploring Extrasolar Planets with Data Science (S&DS 170/570, ASTR 445/545, UG), Spring 2019
Topological Data Analysis (STAT 675, UG, MS/PhD), Fall 2016
Data Analysis (STAT 361/661, UG, MS/PhD), Fall 2015, Spring 2017
Introductory Statistics (STAT 100/500, UG), Spring 2016, 2017

Department of Statistics, Carnegie Mellon University
Astrostatistics (36 - 494/694/794, UG, MS/PhD) - Mini 4, Spring 2015
Applied Linear Models (36 - 617, MS) - Fall 2014
Probability and Statistics for Business Applications (36/70 - 207, UG) - Fall 2012, 2013 · Introduction to Statistical Inference (36 - 226, UG) - Spring 2013, 2014  

Department of Statistics and Operations Research, University of North Carolina-Chapel Hill
Introductory statistics (Instructor, STOR155, UG) - Spring 2009, Fall 2009, Fall 2010
Introductory statistics (Teaching Assistant, STOR151/155, UG) Fall 2007, Spring 2008, Summer 2008, Fall 2008


Summer School in Astroinformatics, Pennsylvania State University, State College, Pennsylvania
[Lecture] Approximate Bayesian Computation (June 2018)

Summer School in Statistics for Astronomers, Pennsylvania State University, State College, Pennsylvania
[Lecture] Multivariate Analysis, Clustering and Classification in Astronomy (June 2014, 2015, 2016, 2017)
[Lecture] Nonparametric Statistics (June 2015)

Bayesian Computing for Astronomical Data Analysis, Pennsylvania State University, State College, Pennsylvania, June 2014.
[Lecture] Bayes via forward simulation: approximate Bayesian computation (June 2014)
[Lecture] Importance sampling (June 2014)
[Lecture] Approximate Bayesian computing using sequential sampling (June 2014)
[Lecture] Hierarchical Bayesian Modeling using approximate Bayesian computation (June 2014)