Chunhua Weng, PhD

Dr. Wengís long-term research interest is to accelerate clinical and translational science using electronic data while minimizing study design biases and optimizing study resultsí generalizability. She combines formal methods and interdisciplinary team science. She extracts information from ClinicalTrials.gov, the literature, and health records and creates a distribution of planned and executed clinical trials--thus viewing clinical research at large scale--to study and quantify the collective generalizability of multiple clinical trials and to generate a novel generalizability index for study traits (GIST). She has also conducted fundamental research to explore the symbiosis between knowledge representation and natural language processing for text knowledge engineering, as reflected in her work on EliXR.