Afsaneh M. Nejad

Afsaneh M. Nejad is an Assistant Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark, where she conducts research at the intersection of data science, bioinformatics, and biomedical research. Her work leverages large-scale omics data and twin studies to investigate aging, hypertension, cancer, and cardiovascular disease.

• Assistant Professor, Department of Mathematics and Computer Science
• Specialization: Data Science, Bioinformatics, Biostatistics
• Institution: University of Southern Denmark (SDU)

Her research focuses on epigenomics, transcriptomics, and proteomics, particularly in longitudinal twin cohorts. She applies advanced statistical and machine learning techniques to identify biomarkers of disease and aging. Key areas include DNA methylation, gene expression, and multi-omics integration in conditions such as hypertension, Alzheimer’s, diabetes, and myocardial infarction.

The recent publications highlight a strong trend in using twin-based designs to control for genetic background while studying environmental and lifestyle impacts on health. Her work spans clinical applications, predictive modeling, and mixed-methods public health research, particularly in sports medicine and chronic disease.

She serves as a peer reviewer for journals including BMC Medicine, Clinical Epigenetics, Human Genomics, and Scientific Reports. Her teaching includes courses in bioinformatics and biostatistics, indicating active mentorship and curriculum development.

• DM847: Introduction to Bioinformatics
• Applied Biostatistics
• Evidence-based Drug Use and Biostatistics

She has contributed to significant collaborative studies such as the DREAM Trial and has presented at conferences on topics like cancer and frailty in aging. Her methodological expertise in longitudinal data analysis, omics integration, and machine learning positions her at the forefront of computational biomedicine.