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About CATI

About CATI

The Center for AI-Driven Translational Informatics (CATI) is a collaborative initiative at the University of Pennsylvania Perelman School of Medicine, supported by the Institute for Biomedical Informatics (IBI), the Department of Biostatistics, Epidemiology and Informatics (DBEI), and the Institute for Immunology and Immune Health (I3H).

CATI’s mission is to bridge the gap between data science and clinical practice by developing explainable, scalable, and deployable machine learning (ML) models for real-world use.

 

Turning Complex Data into Better Patient Care

CATI integrates multi-modal biomedical data—including genomics, proteomics, metabolomics, imaging, electronic health records, and immune signatures—to generate clinical insights that are transparent and actionable. CATI is uniquely positioned to accelerate translational AI research and build end-to-end pipelines that move discoveries from bench to bedside, enabling early disease prediction, precision diagnostics, and personalized treatment planning.

Led by Dr. Dokyoon Kim, CATI also serves as a hub for training, infrastructure, and collaborative research at Penn Medicine, fostering a learning healthcare system where AI-driven insights continuously inform and improve patient care.

  • AI Transforming Patient Care

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Dokyoon Kim Headshot
Contact

Dokyoon Kim, PhD

Associate Professor of Informatics
Department of Biostatistics, Epidemiology & Informatics
Director, Center for AI-Driven Translational Informatics
Associate Director of Informatics, Immune Health

📧 Email: dokyoon.kim@pennmedicine.upenn.edu
🔗 Kim Lab: biomedinfolab.com

Office Address:
B304 Richards Building
3700 Hamilton Walk
University of Pennsylvania
Philadelphia, PA 19104-6116