Topics in Biostatistics

4.0 credits

Fall 2026 Topic: Probabilistic Machine Learning. This course provides an introduction to probabilistic modeling techniques and inference methods. Topics covered include graphical models, sampling-based and optimization-based inference methods. Strong emphasis is placed on implementation using Python, utilizing libraries such as Pytorch and PyMC. The students will gain hands-on experience developing probabilistic models and inference methods to solve real world problems.