Ahmad Hamdan Droobi

Ahmad Droobi (Calgary, Canada) holds a master’s from the Schulich School of Engineering at the University of Calgary, focusing his research on data-driven methods for modeling turbulent geophysical flows. He also received a BSc. in Computer Engineering under the supervision of Dr. Raed Qadi from An-Najah National University.

As an individual with a passion for applied mathematics, optimization, statistics, probability, machine learning, dynamical systems, and programming, Ahmad has a deep interest in leveraging these skills to solve real-world problems in engineering and climate science. He is particularly interested in decision-making under uncertainty, data-driven modeling in climate science and manufacturing, stochastic methods in environmental engineering, and scientific machine learning.

His research is highly interdisciplinary and spans across fields such as climate science, environmental engineering, and applied mathematics.