Rawan Olayan obtained both, her MS Degree and PhD Degree from Computer Science at KAUST in 2013 and 2018 respectively. Her master thesis and PhD thesis supervisor was Vladimir Bajic. Under the supervision of her advisor Professor Vladimir Bajic, she completed her thesis on developing novel computational methods to predict drug-target interactions and their functional effects using data integration, graph mining and machine learning approaches.

Currently, Rawan is working as a postdoctoral associate in the Carter Lab at the Jackson Laboratory for Genomic Medicine in Farmington, Connecticut. 

In her new role, she has been working to develop effective therapies to improve healthcare. Specifically, she is using multi-omics data to identify complex genetic networks and gene interactions relevant to Alzheimer's disease.

Education Profile

  • MS Degree in Computer Science, King Abdullah University of Science and Technology (KAUST), 2013
  • PhD Degree in Computer Science, King Abdullah University of Science and Technology (KAUST), 2018