# Welcome I'm Ryan King, a Ph.D. student in Computer Science at Texas A&M University, developing multimodal foundation models for healthcare applications. My research focuses on contrastive pretraining, transfer learning, and continual learning for Electronic Health Records (EHR) data. ## Research Interests - **Multimodal Learning**: Developing methods to unify EHR time-series data and clinical notes - **Contrastive Pretraining**: Creating foundation models for healthcare applications - **Transfer Learning**: Enabling model transferability across institutions and demographics - **Continual Learning**: Lifelong learning approaches for evolving healthcare data ## Current Work I'm currently working on: - Bi-modal pretraining methods for EHR time-series data and clinical notes - Zero-shot evaluation frameworks for healthcare models - Transfer learning benchmarks for model transportability across institutions - Multi-modal contrastive pretraining with unified training objectives ## Education - **Ph.D. in Computer Science**, Texas A&M University (Expected 2026) - **B.S. in Computer Science**, Texas A&M University (2019-2021), Summa Cum Laude - **B.S. in Civil Engineering**, Virginia Military Institute (2011-2015) ## Contact Feel free to reach out if you're interested in collaborating or have questions about my research!