Lead machine learning research for molecular foundation models, including architecture design, experimentation, structure generation, spectral retrieval, mass spectrum simulation, and molecular property prediction. Develop molecular and spectral representations, analyze model behavior, establish reproducible evaluation pipelines, and collaborate with computational chemists on leakage-safe benchmarks. Translate research findings into modeling priorities and R&D direction while communicating results to technical and non-technical stakeholders.