Elizabeth Dada received B.S. degree in Chemistry, a M.S. degree in chemical engineering. She is currently a Ph.D. student and NIH-AIPrN-T32 Trainee pursuing multidisciplinary research in Bioinformatics Data Science, Machine Learning and Artificial Intelligence in the Department of Electrical and Computer Engineering at Prairie View A&M University (PVAMU). She is being supervised by Dr. Seungchan Kim. She is also an NIH-AIPrN-T32 Trainee with the center, currently performing a research in Type 2 Diabetes (T2D), ‘AllofUs’ – Bioinformatics Data Analysis, Deep Learning and Computational Analysis of Biological Data.