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Fatma Sevinç Kurnaz, PhD

Visiting Assistant Professor, Department of Mathematics, Applied Mathematics and Statistics, College of Arts and Sciences
Member, CWRU Center for Imaging Research

Research Information

Research Interests

My research focuses on robust statistical methodology for high-dimensional and heterogeneous data, with applications in biostatistics, statistical machine learning, and biomedical research. I develop robust and sparse methods for regression, classification, and survival analysis, with an emphasis on reproducible, interpretable, and computationally efficient statistical learning. I am interested in interdisciplinary collaborations involving biomedical and imaging-related data.

Research Interests

  • Robust Statistics
  • Sparse Methods and High-Dimensional Data Analysis
  • Compositional Data Analysis
  • Applications to Drought and Environmental Data

Professional Memberships

American Statistical Association (ASA)

Additional Information

  • Associate Editor, Journal of Applied Statistics
  • Associate Editor, Statistical Papers
  • Lead Guest Editor, Special Issue Applications of Robust Methods in Modern Data Science, Journal of Applied Statistics (ICORS 2026)
  • Lead Guest Editor, Special Issue Robust Statistics Revisited: Recent Progress in Theory, Statistical Papers (ICORS 2026)
  • Co-Chair, International Conference on Robust Statistics (ICORS 2026)
  • Organizing Committee Member, High-Dimensional Data Analysis (HDDA 2026)
  • Developer of the CRAN package enetLTS

Areas of Expertise

Robust Statistics
Statistical Machine Learning
High-Dimensional Statistics
Biostatistics
Survival Analysis
Sparse Modeling
Statistical Computing
Data Science