EPID 708: Machine Learning for Epidemiologic Analysis in the Era of Big Data

Course Overview

• Term: Summer 2025
• Language: R
• Instructor: David McCoy (david_mccoy@berkeley.edu)

Course Description

This course focuses on recent advances in machine learning for epidemiologic analysis, particularly in the context of causal inference and prediction. Students learn to apply Targeted Maximum Likelihood Estimation (TMLE) and other tools for:

• Estimating causal parameters (e.g., average treatment effects)
• Designing optimal treatment regimes
• Leveraging cloud computing for scalable implementation