Eda Cakir

Phone: +49 421 200 3535
Mail: ecakir (at) constructor.university
Position: Ph.D. Student (Research Associate)
ORCID: 0000-0001-5337-3095

CV

Eda completed her bachelor’s degree in industrial engineering at METU and worked in strategic positions in various industries for several years. While pursuing her master’s degree in Data Engineering at Jacobs University, she worked at Roche Diagnostics, where she developed tools for the statistical analysis for the comparison of assay measurements and investigated statistical models for degradation rate calculation and shelf-life estimation. In 2021, she started her Ph.D. in computational systems biology.

Research

Eda is currently participating in two projects: (1) a research project funded by the Federal Office for Radiation Protection (BfS) and (2) a joint research project with the Otto von Guericke University Magdeburg, in which she analyzes transcriptome and/or methylation profiles of human /mouse cell cultures. Her research areas include genotype-phenotype relationships, disease networks, network medicine, and synthetic data generators.

Recent Publications

5G-exposed human skin cells do not respond with altered gene expression and methylation profiles
Jyoti Jyoti , Isabel Gronau , Eda Cakir , Marc-Thorsten Hütt , Alexander Lerchl , Vivian Meyer
PNAS nexus, 2025.
Cite

Cite

                    @article{jyoti20255g,
 author = {Jyoti, Jyoti and Gronau, Isabel and Cakir, Eda and Hütt, Marc-Thorsten and Lerchl, Alexander and Meyer, Vivian},
 journal = {PNAS nexus},
 number = {5},
 pages = {pgaf127},
 publisher = {Oxford University Press US},
 title = {5G-exposed human skin cells do not respond with altered gene expression and methylation profiles},
 volume = {4},
 year = {2025}
}

                
Network-based computational pipeline for studying variability of transcriptome profiles for human diseases
Eda Cakir , Marc-Thorsten Hütt
Computer Science, 2025.
Cite

Cite

                    @article{cakir2025network,
 author = {Cakir, Eda and Hütt, Marc-Thorsten},
 journal = {Computer Science},
 title = {Network-based computational pipeline for studying variability of transcriptome profiles for human diseases},
 volume = {26},
 year = {2025}
}

                
The economy of chromosomal distances in bacterial gene regulation
Eda Cakir , Annick Lesne , Marc-Thorsten Hütt
NPJ systems biology and applications, 2021.
Cite

Cite

                    @article{cakir2021economy,
 author = {Cakir, Eda and Lesne, Annick and Hütt, Marc-Thorsten},
 journal = {NPJ systems biology and applications},
 number = {1},
 pages = {1--9},
 publisher = {Nature Publishing Group},
 title = {The economy of chromosomal distances in bacterial gene regulation},
 volume = {7},
 year = {2021}
}