Dr. Ahmad Al-Omari is a Professor of Bioinformatics with tenure . He is an ABET EAC/BMES Program Evaluator (PEV) and an Erasmus+ certified trainer, as well as a Senior Member of IEEE, EMBS, and CIS. PLOS ONE and ACISC Journals Editorial Board Member. In April 2020, he became the first Jordanian to be certified as an Nvidia Deep Learning Institute (DLI) Instructor and DLI University Ambassador. Dr. Al-Omari is also a judge for the QS Reimagine Education Awards.

He earned his B.Sc. in Electrical and Computer Engineering from Yarmouk University (YU), Irbid, Jordan, in 2004. From 2004 to 2010, he served as a teaching assistant and lab engineer in the Department of Electrical and Computer Engineering at YU, where he contributed to over 30 projects in computers, communication, and electronic engineering. Dr. Al-Omari was awarded a grant exceeding $150,000 from YU to pursue a Ph.D. in Bioinformatics. He also received a Teaching Assistant grant worth over $133,000 from the University of Georgia (UGA), USA—recognized as the oldest public university in the United States and one of its top-ranked institutions. At UGA, he was a member of Professor Jonathan Arnold's research group, focusing on systems biology and genetic networks.

Dr. Al-Omari's research centers on the complex dynamics and regulatory mechanisms of the biological clock in Neurospora crassa, employing a diverse array of topics and methodologies. His expertise spans machine learning, deep learning, big data, numerical methods, circadian rhythms, computational modeling, and parallel computing. His work elucidates the complex interactions among genes and proteins involved in circadian rhythms, providing insights into the fundamental regulatory mechanisms of the biological clock. He possesses extensive knowledge in machine learning and deep learning techniques, applying these advanced methods in bioinformatics, biomedical informatics, and health informatics to solve complex problems and derive valuable insights from large-scale biological and healthcare data. His contributions include developing predictive models, pattern recognition systems, and data-driven approaches that facilitate precise analysis, interpretation, and decision-making in these interdisciplinary fields. His research bridges computational biology and informatics, fostering innovative applications in precision medicine, disease diagnostics, and personalized healthcare.

Dr. Al-Omari has also taught graduate-level courses in Bioinformatics at UGA, including the advanced programming course BINF 6003, "A Practical Advanced Programming Course/C++ Object Oriented Design and GPU/CUDA," in the summer term of 2014. He served as an instructor for the CUDA teaching center at UGA.

As a grant proposal writer, Dr. Al-Omari has numerous published papers and posters in bioinformatics, numerical methods, and parallel algorithms on GPGPUs. For his significant contributions and collaborations, he has an Erdős number of 2. He is an editorial board member of the PLOS ONE Journal and Applied Computational Intelligence and Soft Computing. He has participated in five international conferences related to his field. He secured a grant from Nvidia, leading Yarmouk University to be selected as a GPU Education Center. The grant included a GPU teaching kit with 10 books, one Tesla K40 (active), two Titan X GPUs, and $2,500, totaling $13,000.

Dr. Al-Omari is recognized as the first bioinformatician in Jordan to earn a Ph.D. in Bioinformatics. From 2015 to 2020, he was an assistant professor and researcher at YU. His current research interests include parallel computation, systems biology, finite element methods, machine learning and pattern recognition, biological circuits and gene networks, and numerical analysis.