Biostatistician | Machine Learning Methodology & Research Software

I develop open-source R software for reproducible biomedical data science. My work focuses on trustworthy machine learning, leakage-aware model evaluation, and transparent statistical workflows for biomedical research. Through methodological studies and software tools, I aim to improve the reliability and reproducibility of computational analyses in clinical and biological datasets.

Software

bioLeak

Leakage-Safe Modeling and Auditing for Genomic and Clinical Data.

CRAN · Source

fastml

Guarded Resampling Workflows for Safe and Automated Machine Learning in R.

CRAN · Source

StatGuide

AI-assisted manuscript reporting checker for authors and journals.

Website

MVN

R package for assessing multivariate normality.

CRAN · Source

rPDBapi

Programmatic access to Protein Data Bank resources in R.

CRAN · Source

PubChemR

Access PubChem programmatically for cheminformatics analysis.

CRAN · Source

Selected Publications

2025
Korkmaz S, Yamasan B. E. The R Journal, 17(2), 109-145.
2025
Korkmaz S. Balkan Medical Journal, 42(5), 386-387.
2024
Korkmaz S, Yamasan B. E., Goksuluk D. The R Journal, 16(3), 150-185.
2024
Yamasan B. E, Korkmaz S. Balkan Medical Journal, 41(3), 186-192.
2020
Korkmaz S, Zarasız G, Göksülük D, Senes M, Sönmez C, Yucel D. Turkish Journal of Biochemistry, 45(5), 479–489.
2020
Korkmaz S. Journal of Chemical Information and Modeling, 60(9), 4180–4190.
2019
Korkmaz S. Turkiye Klinikleri Journal of Biostatistics, 11(2), 93–101.
2018
Korkmaz S, Duarte JM, Prlic A, Goksuluk D, Zararsiz G, Saracbasi O, Burley SK, Rose PW. PLOS ONE, 13(6): e0197176.
2017
Korkmaz S, Goksuluk D, Zararsiz G, Karahan S. Computers in Biology and Medicine, 89, 487–496.
2014
Korkmaz S, Goksuluk D, Zararsiz G. The R Journal, 6(2), 151–162.
2014
Korkmaz S, Zararsiz G, Goksuluk D. Computer Methods and Programs in Biomedicine, 117(2), 51–60.

Full list on Google Scholar.

Contact

© Selçuk Korkmaz  ·  Back to top  ·  Last updated