Dr. Manzourolajdad’s education and research experience covers a diversity of disciplines including electrical engineering and molecular biology. He received his Masters of Science in Systems Telecommunications Engineering. His project was the application of Shannon Entropy in Genome-wide association studies. He received his PhD in Bioinformatics from the University of Georgia. The topic of his thesis was on RNA molecular structure of bacterial riboswitches. His postdoctoral studies at the National Center for Biotechnology Information (NCBI) involved an evolutionary study on viral strains collected from North American HIV patients during the past few decades. He was also a research fellow at the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), NIH, where he focused on RNA binding Proteins (RBPs) and their functions as post-transcriptional gene regulators. He has previously worked on topics such as SARS-CoV-2 RNA structural evolution. His current work focuses on RNA computational design using geometric deep learning.