Teaching

I am teaching the following courses at Carnegie Mellon University (order by course level):

46–924 Natural Language Processing (mini)

Elective course on natural language processing for the Master’s in Computational Finance program, text mining, topic models, and transformers.

46–926 Machine Learning I (mini)

Core course on statistical machine learning for the Master’s in Computational Finance program, including regression, classification, and tree-based methods.

36-460/660 Special Topics: Sports Analytics

Elective course for advanced undergraduate and master’s level students on sports analytics methods, including multilevel models, Bayesian statistics, and spatio-temporal data.

36–613 Data Visualization (mini)

Core course in Master of Science in Applied Data Science (MADS) on creating and understanding data visualizations and interactive tools from a statistical perspective.

36-642 Telling Impactful Stories with Data Visualization (online mini)

Data visualization course in Foundations of Data Science online graduate certificate program.

36-493 Sports Analytics Capstone

Undergraduate capstone course using data provided by CMU athletics for sports analytics research projects.

36-315 Statistical Graphics and Visualization

Undergraduate course on creating and understanding data visualizations from a statistical perspective.