Artificial Intelligence & Deep Learning in Bioinformatics

This course explores the use of artificial intelligence (AI) and deep learning in bioinformatics. Students will gain hands-on experience training deep learning models on biological datasets, with a focus on sequence data, medical images, omics data, and biomolecular structures related to human health, cancer, and infectious diseases. The models that will be covered include convolutional neural networks (CNNs), language models, variational autoencoders (VAEs), and generative adversarial networks (GANs). Additionally, the course will focus on existing predictive tools such as AlphaFold. Students will present papers from literature to survey recent applications of deep learning in bioinformatics and complete a deep learning project.