Mohammad Khalil

Adjunct Research Professor

• B.Sc., B.Eng. (McGill University), M.A.Sc., Ph.D. (Carleton University)
• Email Mohammad Khalil

Mohammad Khalil is a Senior Member of the Technical Staff at Sandia National Laboratories, Livermore, California, in the Quantitative Modeling and Analysis department. He has 15+ years of experience developing Bayesian inference algorithms for machine-learning model calibration, parameter estimation, data assimilation, and data-driven model selection, with applications in fluid-structure interaction, combustion modeling, radiation detection, nonlinear structural dynamics, wildfire forecasting, time-series analysis, and near-shore wave forecasting for energy harvesting. He is currently leading a Sandia R&D effort to develop probabilistic transfer learning methodologies with applications in various Sandia mission spaces, including turbulent combustion modeling and prediction of mechanical failure locations in porous metals.​