Dr. Yeşim Aydın Son is a medical scientist holding an M.D. and a Ph.D. in Genome Sciences and Technologies. She is a full-time faculty of METU Graduate School of Informatics since 2010 and promoted to the Assoc. Prof. position in the Bioinformatics Program in 2017. The main focus of her research is the modeling of chronic and complex diseases based on integrated genomic and clinical data. Her group has released a java based integrated software called METU-SNP, for genome-wide association and prioritization of SNP biomarkers through a novel AHP based algorithm. Her group continues to investigate the application of different data mining approaches to better associate genotyping data with diseases. They have proposed the SVM-ID3 hybrid method in 2014, which has been shown to outperform only the SVM method for the modeling of prostate cancer. Genomic Data-based modeling of Schizophrenia, Bipolar Disorder, Alzheimer’s and Parkinson’s disease, are among her ongoing projects.