Jon shares insights from his PhD work on causal pathways in genetics, emphasizing the unique challenges of correlating genetic and biological data. Charlotte discusses advancements in protein structure prediction, particularly focusing on antibodies. She highlights the importance of specialized models and innovative loss functions to improve accuracy in predicting binding sites, showcasing the evolution of machine learning applications in drug discovery.
