Olga Klopp

Olga Klopp is a Professor of Statistics at ESSEC Business School and a permanent member of the CREST research center. Her work focuses on nonparametric estimation, high-dimensional inference, network models, and matrix completion.

• Research spans theoretical and applied statistics
• Specializes in sparse/high-dimensional data and network analysis
• Develops algorithms for matrix completion and graphon estimation

Recent research includes tensor decomposition for economic networks, detection of change-points in dynamic networks, and handling missing data in epidemic modeling. She has received ERC and ANR grants for innovative projects.

• PhD Students: Solenne Gaucher, Mokhtar Alaya, Guillermo Martin
• Key methodological contributions in low-rank modeling and robust estimation