Dr. Sadia Akter received her Doctoral degree in Bioinformatics from the Institute of Data Science and Informatics, University of Missouri, and BS and MS in Applied Statistics from the University of Dhaka, Bangladesh. During her doctoral training, Dr. Akter applied advanced quantitative and predictive machine learning techniques for developing diagnostic classification models and detecting candidate biomarkers in clinical patients with endometriosis. She completed her postdoctoral training at the Department of Molecular Microbiology and Immunology, and the Bond Life Sciences Center, University of Missouri focusing on the development of computational framework for analysis and interpretation of high throughput datasets from influenza virus and Escherichia coli. Her expertise is in the areas of computational biology and bioinformatics, and its application on various omics datasets including transcriptomics, methylomics and microbiomics of different organisms, such as human, rat, mouse, virus, bacteria and plant. Her research interest focuses in the area of Statistical Genomics, Translational Bioinformatics, Precision Medicine, Computational Biology, Data Mining and Machine Learning. She has joined Khader Lab as Bioinformatics Scientist in 2021.