Sebastien Haneuse is a biostatistician and Co-Investigator for HaSET. He is Professor of Biostatistics at the Harvard T.H. Chan School, and is Health Sciences and Technology Affiliated Faculty at the Massachusetts Institute of Technology. He also currently serves as Statistical Editor for JAMA Network Open.
Broadly, Sebastien’s methodologic research focuses on the design and analysis of large, complex observational studies. Specifically, his research covers three major themes: data augmentation methods, primarily outcome-dependent sampling schemes in resource-limited settings; methods for dealing with missing data in electronic health records-based research; and, methods for the analysis of semi-competing risks data. From a clinical and public health perspective, Sebastien has collaborated in a wide range of scientific domains, including: maternal and child health, cardiovascular disease, breast cancer screening, Alzheimer’s’ disease and dementia, HIV/AIDS, bariatric surgery, diabetes, LGBQT health, and hospital profiling.