Dr. Long’s research purposefully includes novel statistical research and impactful biomedical research, each of which reinforces the other. Its thrust is to develop statistical and machine learning, bioinformatics, and data mining methods for advancing precision medicine and population health with keen interests in analysis of big health data including, but not limited to, -omics data, electronic health records (EHRs) data, and mobile health (mHealth) data. Specifically, he has developed methods for the analysis of big biomedical data, predictive modeling, missing data, causal inference, Bayesian methods and clinical trials. He also has made significant contributions to biomedical research areas such as cancer, cardiovascular diseases, diabetes, mental health, and stroke.

Dr. Long’s research has been supported by the National Institutes of Health (NIH), the Patient-Centered Outcomes Research Institute (PCORI), the National Science Foundation (NSF). He is an elected fellow of the American Statistical Association and an elected member of the International Statistical Institute.