Bio
Dr. Leela Dodda is the Director of AI & Computational Chemistry at Nimbus Therapeutics. At Nimbus, Dr. Dodda's role entails supporting the discovery pipeline and developing machine-learning models for ADMET predictions. In particular, he is interested in leveraging GNNs' ability to do multi-task learning and transfer learning from Quantum Mechanical data to create models that are not data-hungry. He also works on applying large language models and agentic workflows to curate data and democratise analytics across the organization.
He got his Ph.D. in Computational Chemistry from Yale University, working on novel methodologies for structure-based drug discovery.