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Laboratory of Li Shen at the Perelman School of Medicine, University of Pennsylvania, focuses on the development and application of informatics, computing, and data science methods to discover actionable knowledge from complex biomedical health data such as genetics, omics, imaging, and electronic health records. The lab's goals include advancing AI and machine learning, creating novel algorithms for analyzing large-scale datasets, generating insights into biological and clinical phenotypes, and improving health care through collaborative research. Research interests encompass machine learning, medical image computing, biomedical health informatics, trustworthy AI, natural language processing, and applications related to Alzheimer's disease and other complex disorders. The lab also pursues emerging frontiers in generative AI and agentic AI, striving to push the boundaries of biomedical research, while providing opportunities for motivated students and scholars in fields such as biomedical informatics, computer science, AI/ML, and healthcare.
Shen Lab • Philadelphia, PA
Leading research focused on developing advanced informatics and computing methods in biomedical health data.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.