Introduction to Machine Learning in Computational Biology - Lecture 1

Explore the foundations of computational biology and machine learning in this introductory lecture. Delve into the course goals, structure, and significance of computational biology in modern research. Examine the unique aspects of generative AI and its applications. Investigate representation learning techniques for images and genomes, graph neural networks, and language models. Visualize embedding landscapes and gain insights into future developments in the field. Prepare for an in-depth journey through the intersection of biology and artificial intelligence.

Introduction
Goals of the Course
Course at a Glance
Why Computational Biology
Why GenAI is different
Representation Learning: Images + Genomes
Graph Representation Learning in GNNs
Language Representation Learning in LLMs
Visualizing Z vector Embedding Landscapes
The Road Ahead