Song Yang is currently a Research Investigator at Arvinas. Before that, he was a Senior Scientist in Merck South San Francisco for 3.5 years after graduating from UCLA. Since joining the industry, he developed expertise in structure-based modeling on several modalities from small molecules, peptides, PROTAC to antibodies and ADCs. He also specializes in machine learning for molecular properties prediction in drug discovery. Today he will be talking about his machine learning work from his research at Merck.