About Khalid Saqr

Khalid Saqr is a researcher, computational engineer and author of Adjoint Thinking. Drawing on a career spanning turbulence, computational modelling, neurovascular haemodynamics, mechanobiology and knowledge engineering, he develops human–AI systems for research, innovation management, and consequential decision-making. His work focuses on using machine intelligence to extend human capability without surrendering evidence, originality, responsibility or the final human judgment.

Through KNOWDYN, he has developed human–AI knowledge engineering systems for complex research, analysis, invention, and decision-making. This practical experience shaped the central argument of Adjoint Thinking: artificial intelligence creates the most value when it is designed as a disciplined cognitive environment rather than treated as a shortcut to finished answers.

Saqr’s background spans scientific research, computer modelling and simulation, mechanical engineering, innovation management, turbulence, and game theory. Across these fields, his work has focused on turning difficult information into reliable evidence, defensible knowledge, and useful systems.

Adjoint Thinking brings these experiences together into a practical framework for extending human intellectual capacity while preserving attention, authorship, accountability, and the final human verdict.