About Me
I’m a postdoctoral researcher at Princeton University working on data-driven approaches for flux parameterization in the atmospheric boundary layer with Prof. Elie Bou-Zeid.
I completed my PhD in Mechanical Engineering at KAUST under the supervision of Prof. Omar Knio and Edriss S. Titi, where I primarily developed AI-based frameworks for data assimilation and downscaling in chaotic systems.
Interests
- Uncertainty Quantification
- Data Assimilation
- AI for Science
- Computational Fluids
- Remote Sensing
- Boundary Layer Meteorology
Education
PhD Mechanical Engineering
King Abdullah University of Science and Technology (KAUST)
MSc Mechanical Engineering
King Abdullah University of Science and Technology (KAUST)
BEng Mechanical Engineering
American University of Beirut
Featured Publications
Recent Publications
(2025).
On the potential of Bayesian neural networks for estimating chlorophyll-a concentration from satellite data.
in MDPI-RS.
(2025).
Identification of Moving Sources in Stochastic Fields: A Bayesian Inferential Approach with Application to Marine Traffic in the Mediterranean Sea.
in Comp. Geo..
(2025).
Downscaling Using CDAnet Under Observational and Model Noises: The Rayleigh-Bénard Convection Paradigm.
in Comp. Geo..
(2024).
Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning.
in JAMES.
(2024).
Two-step AI-aided Bayesian source identification of urban-scale pollution.
in Atmospheric Environment.
Recent News
Abstract accepted to AMS BLT '25!
Your news content here…
Jun 17, 2025
Presented at the Princeton Fluids Seminar!
May 22, 2025
I was awarded with the KAUST PSE dean's award! (First to achieve the highest number of awards possible within a PhD)
Apr 20, 2025
Invited to give a talk at AUB CAMS!
Jun 10, 2024
Invited to give a talk at the Stochastic Numerics and Stochastic Learning Conference!
May 11, 2024