Module week: Week 39 (starting 22 September 2026)
Recorded lecture — now available online. Watch it in the course portal. This module’s lecture is “Single Cell Analysis” from MIT’s Machine Learning in Computational Biology (MLCB, Fall 2024) by Prof. Manolis Kellis — a full single-cell walk-through: scRNA-seq methods and data clean-up, clustering, dimensionality reduction, differential gene expression, and how the transcriptome connects to phenotype. An optional frontier talk by Fabian Theis (Helmholtz Munich) on foundation and generative perturbation models is linked alongside it as further viewing. The computer lab (Wednesday 13:00–17:00) and seminar (Friday 10:00–12:00) are held live over Zoom.
Module 5 covers genomics and single-cell analysis, featuring scRNA-seq processing pipelines, pathway analysis, and genomic workflows. Students integrate comprehensive genomics analysis capabilities into their AI agents.
Guest lecturer (to be confirmed): Xiaojie Qiu
Xiaojie Qiu’s research develops computational and machine learning methods for single-cell genomics, including approaches for reconstructing cellular dynamics and gene-regulatory networks from single-cell and spatial transcriptomics data.
The computer lab notebook will be released at the start of the module week; you will present your lab work at the Friday seminar.