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Final Program


Program-At-A-Glance

Ujwala Shenoy, MSc

Research Assistant II
Beth Israel Deaconess Medical Center
Boston, Massachusetts, United States

Ujwala Shenoy is a cardiovascular imaging researcher and data scientist specializing in cardiac MRI radiomics, ECG analytics, natural language processing, and machine learning for cardiomyopathy classification and risk prediction. Her work focuses on integrating quantitative imaging biomarkers, electrocardiographic signal features, and genetic information to identify early disease signatures and improve diagnostic precision across inherited and non-ischemic cardiomyopathies. She has developed radiomics pipelines for LGE, cine, and T1 mapping images, and created automated NLP systems to classify large volumes of cardiac MRI reports. Her research also includes contributions to NIH-funded imaging studies, where she built and evaluated AI-based tools for quantitative image analysis.

Ujwala collaborates with multidisciplinary teams of cardiologists, radiologists, and data scientists to build interpretable and clinically meaningful AI models. Her work emphasizes reproducibility, multimodal integration, and early detection of disease using advanced computational approaches. She aims to advance precision cardiology by developing tools that combine imaging, ECG, and genetic biomarkers to support personalized clinical decision-making for cardiomyopathy patients. With a background spanning biomedical research, medical imaging, and applied machine learning, Ujwala brings a strong commitment to translating quantitative imaging science into impactful solutions that improve patient outcomes and expand the role of AI in cardiovascular medicine.

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