Our faculty conduct research across a broad range of foundational and emerging areas of statistics and data science. They are renowned experts in their fields and their work drives progress and knowledge-generation within statistical sciences and across disciplines.
Foundational areas
Emerging areas
Crowdsourcing and Modern Sample Surveys | Jonathan Auerbach, Jiayang Sun |
Natural Language Processing, Statistics for Electronic Health Records (EHR and Multisourced data) | David Kepplinger, Martin Slawski, Jiayang Sun |
Machine Learning (ML), Artificial Intelligence (AI), and Interface of Statistics and Computer Science | Inchi Hu, David Kepplinger, Wanli Qiao, Nicholas Rios, Abolfazl Safikhani, Martin Slawski, Jiayang Sun, Anand Vidyashankar, Lily Wang |
Statistical Privacy and Security Analytics, Compliance and Regulatory | Anand Vidyashankar |
Statistical Computing, Visualization and Data Mining | David Kepplinger, Ben Seiyon Lee, Nicholas Rios, Jiayang Sun |
Data Compression, Record Linkage, and Feature Selection | David Kepplinger, Abolfazl Safikhani, John Stufken, Martin Slawski, Jiayang Sun |
Statistical Imaging, Mixture Models, and Causal Inference | Inchi Hu, David Kepplinger, Abolfazl Safikhani, Jiayang Sun |
Further data analytics research is listed under Data Analytics research.