Jing Huang, PhD

Dr. Jing Huang is an Associate Professor of Biostatistics in the Department of Biostatistics, Epidemiology, and Informatics at the Perelman School of Medicine, University of Pennsylvania. She is also a Senior Scholar in the Penn Center for Clinical Epidemiology and Biostatistics (CCEB), Associate Director of Observational Research at PolicyLab, and Biostatistics Faculty Lead for Data Science and Digital Strategy at the Children’s Hospital of Philadelphia (CHOP) Research Institute. Her research lies at the intersection of biostatistics, artificial intelligence, and health data science, with a focus on transforming complex real-world healthcare data into actionable evidence for clinical and population health decision-making.

Dr. Huang develops rigorous statistical and computational methods for causal inference, real-world evidence generation, disease trajectory modeling, predictive analytics, and learning health systems. Her work leverages electronic health records, multimodal clinical data, and emerging AI technologies to address challenges in clinical research, precision medicine, public health, and healthcare delivery.

A central theme of her research is bridging methodological innovation with practical implementation. Through close collaboration with clinicians, health systems, and multidisciplinary research teams at Penn Medicine, CHOP, and beyond, she develops interpretable, reproducible, and scalable approaches that support evidence generation and decision-making in real-world healthcare settings. Her research has contributed to major clinical trials, large-scale observational studies, infectious disease surveillance, and the evaluation of AI systems for healthcare.

Dr. Huang’s long-term goal is to advance learning health systems in which rigorous methods, real-world data, and artificial intelligence work together to improve patient outcomes, healthcare delivery, and population health.