Research Interests

​Most of my work is focused on designing and developing novel algorithms that perform unsupervised clustering using multidimensional data such as growth phenotype matrices. The obtained clusters can be used to study systems biology of cells where protein-protein interaction networks can be driven from the relation between the mutant genes in the found clusters. During my study, I have also worked on high performance computing to simulate oil flow in reservoir, and worked with oil wells drilling engineers to provide a solution to use a real-time stream of sensors reading to predict up-normality in operation and alert person on charge ahead of time.


Education Profile

  • M.Sc. Computer Science, KAUST, Thuwal, Saudi Arabia, 2013

Professional Profile

  • 2013-present: PhD Student 
  • 2000-present: Business Analyst, Saudi Aramco, Dhahran, Saudi Arabia