I received my Ph.D., M.Sc., and B.Sc. all in Statistics from Department of Statistics, Middle East Technical University (METU), Ankara, Turkey, in 2014, 2009, and 2006, respectively. I did my post-doctoral studies at School of Statistics, University of Minnesota, USA, and at Department of Biostatistics, University of North Carolina-Chapel Hill, USA, between 2015-2016.
My current research interest is on statistical learning algorithms, high-dimensional sparse data analysis and regularization, computational statistics, and statistical computing. Apart from these, I am also interested in history of mathematics, statistics, and programming languages.
In the past, I worked on developing new statistical methodologies for analysis of longitudinal data and zero-inflated data for discrete outcomes motivated by health sciences. Most of the time, I dealt with computationally intensive models where the parameter optimization was a challeging task. This experience motivated me to continue to work on computationally heavy methods.
Operating Systems: Microsoft Windows, macOS, Linux.
Version Control: Git, GitHub/GitHub classroom.
Mark-up languages: LaTeX, Markdown, R Markdown, Quarto, HTML (along with some CSS).
Presentation frameworks: Beamer, R xaringan (along with some Remark.js).
Statistical software: R (developed packages, taught courses), SAS, Jags.
IDEs: RStudio for R, JupyterLab, Google Colab, and Visual Studio Code for Python.
HPC clusters: Used HPC clusters of METU and University of Minnesota for conducting statistical simulation studies of aforementioned papers.