Patrick M Boyle

Two fully funded postdoctoral researcher positions are open at the University of Washington in the CardSS Lab , focused on translational AI and machine learning for cardiovascular and clinical applications. The roles sit at the intersection of biomedical engineering , computer science , data science , computational biology , and clinical medicine, with collaboration across UW, Fred Hutch, Duke, Mass General Brigham, and the Broad Institute. There are two distinct but complementary projects: Echo-ML (co-PIs: Lindsay Edwards, Duke; Eric Chow, Fred Hutch) covers deep learning for echocardiography, multimodal imaging plus EHR models, synthetic/generative AI for pediatric cardiovascular imaging, and clinically interpretable AI for cardio-oncology. ECG-ML (co-PI: Neal Chatterjee, UW) focuses on AI-enhanced ECG analysis, sudden cardiac arrest prediction, foundation/self-supervised ECG models, and athlete screening / population-scale cardiovascular AI. The positions are fully funded for at least one year, with possible renewal depending on progress and continued funding. The post specifically welcomes trainees from quantitative and computational backgrounds. Interested applicants should first contact the poster via LinkedIn DM. Eligible candidates will then be asked to email a CV and a brief statement of research interests.