معرفی
Emily Hector is an Assistant Professor in the Department of Statistics at North Carolina State University. She holds a Ph.D. in Biostatistics from the University of Michigan (2020) and serves as an Associate Editor for Reproducibility at the Journal of the American Statistical Association. Her research focuses on distributed inference, data integration of correlated and high-dimensional datasets, and leveraging computational advancements for divide-and-conquer methods. Applications include spatial extremes, metabolomics, neuroimaging of autism, and wearable devices.
Key areas of expertise include estimating equations, generalized method of moments, and parallel computing. Methodological innovations address challenges in big spatial data modeling and high-dimensional phenotypes. Her work bridges statistical theory with practical computational solutions for large-scale biomedical data.
Hector has been honored with the Dr. Dennis Boos Citizenship Award (2023-2024). Her publications span topics such as neuroconnectivity analysis, genetic regulation of metabolism, and climate model bias correction. She actively collaborates with interdisciplinary teams and contributes to open-source software for statistical analysis.
