Zaid Sawlan is a Postdoctoral Fellow at Professor Raul F. Tempone's Stochastic Numerics Research Group (STOCHNUM) at King Abdullah University of Science and Technology (KAUST). Prior to this, Zaid obtained a Ph.D. degree and a Master's degree in Applied Mathematics and Computational Sciences (AMCS) under Professor Raul F. Tempone's supervision.

Research Interests

Zaid's research interests include Model calibration and Bayesian model comparison for fatigue data, Bayesian inference in linear parabolic PDEs with noisy boundary conditions, and History matching using ensemble Kalman filters.

Selected Publications

Education Profile

  • Ph.D. in Applied Mathematics and Computational Science, King Abdullah University of Science & Technology, Saudi Arabia (2018).
  • M.Sc. in Applied Mathematics and Computational Science, King Abdullah University of Science & Technology, Saudi Arabia (2012).​
  • B.Sc. in Mathematics, King Saud University, Saudi Arabia (2010).

Professional Memberships

  • Consultant at ARAMCO.​
  • ​Teaching Assistant at KAUST (Bayesian Statistics).
  • Visiting researcher at ICES, The University of Texas at Austin.​
  • Research Intern at ARAMCO.
  • Teaching Assistant at KAUST (Stochastic Methods in Engineering).
  • ​​​Society for Industrial and Applied Mathematics (SIAM).
  • Society of Petroleum Engineers (SPE)​.

Awards and Distinctions

  • 2008-2010 KAUST Discovery Scholarship, King Saud University, Saudi Arabia.
  • 2010- KAUST Fellowship, King Abdullah University of Science & Technology, Saudi Arabia.
  • 2010 KAUST Provost Award, King Abdullah University of Science & Technology, Saudi Arabia.