Dr. Yeşim Aydın Son is a medical scientist holding a 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. Main focus of her research is modeling of chronic and complex diseases based on integrated genomic and clinical data. Her group have 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 continuous to investigate application of different data mining approaches to better associate genotyping data with diseases. They have proposed the SVM-ID3 hybrid method in 2014, which have been shown to outperform only SVM method for the modeling prostate cancer. Genomic Data based modelling of Schizophrenia, Bipolar Disorder, Alzheimer’s and Parkinson’s disease, are among her ongoing projects. Currently she is the principal investigator of a TUBİTAK 1003 Grant (2017-2019), in which meta-modelling of Alzheimer’s disease based on available genotyping and phenotyping data is proposed. The final meta-model will also be evaluated on a geriatric patient group in Turkey. After validation of these genomic disease models, their implementation as clinical decision support systems will be aiding healthcare providers to use genomic information for diagnosis and treatment of patients.