David Anderson
Leonardo Reader In Aerospace Systems at University of Glasgow
Glasgow, Scotland, United Kingdom
Summary
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Senior🎓
Top SchoolDavid Anderson is a Leonardo Reader in Aerospace Systems at the University of Glasgow with two decades of aerospace engineering experience focused on simulation, systems and control for autonomous airborne platforms. He developed MAVERIC, a multi-resolution, multi-fidelity simulation engine used across defence projects for flight mechanics, sensor fusion, mission planning and physics-enhanced AI/ML, and leads the MAST-Lab which integrates drone design, additive manufacturing and indoor flight testing. His work spans low-level flight code (Fortran, C++) to high-level toolchains (MATLAB, Simulink, Python, Qt), with extensive hands-on experimental validation using C/C++ and LabVIEW. David’s research uniquely blends differential physics simulation and synthetic data generation to make AI behaviours more predictable in safety-critical C4ISR contexts. He combines academic leadership—program coordination and student advising—with deep industry experience from roles at BAE Systems and consultancy, enabling practical technology transfer from lab to operational systems. Based in Glasgow, he holds a PhD in Aerospace Simulation & Control and is known for translating complex control theory into deployable avionics and drone systems.
10 years of coding experience
4 years of employment as a software developer
PhD, Aerospace Simulation & Control, PhD, Aerospace Simulation & Control at The University of GlasgowGithub contributions (5)
Sightline/MultiRotorSim
Oct 2015 - Aug 2016
Contributions:4 commits, 3 pushes, 2 branches in 9 months
Sightline/TestLib
Aug 2015 - Jun 2016
Contributions:1 push, 1 branch in 10 months
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