Conor Marsh
Technical Specialist - Synthetic Test Environments at The University of Manchester
Northwich, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolConor Marsh is a technical specialist combining eight years of software and research experience to build real-time aerodynamic simulations, VR/AR environments, and teaching tools at The University of Manchester. He brings a rare mix of aerospace PhD research—covering predictive modelling, dynamic optimisation and reinforcement learning—and hands-on implementation in C#, Unity and MATLAB for both academic and industry partners. Conor’s work spans end-to-end simulation pipelines: from physics-informed models of jumping dynamics to interactive synthetic testbeds that accelerate experimentation and training. He’s comfortable translating complex control and optimality concepts into usable interfaces, and often leverages RL and game-development techniques to prototype novel testing and teaching scenarios. Based in Northwich, he is equally at home iterating research code and shipping polished, user-facing simulation systems.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering, Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering at The University of Manchester
Github Skills (27)
robotics10
reinforcement-learning10
deep-reinforcement-learning10
ml-agents10
ros10
unity3d10
imitation-learning9
machine-learning9
deep-learning9
arduino9
rover8
mavlink8
autopilot8
plane7
rigid-bodies7
Programming languages (4)
Github contributions (5)
ConorZAM/Python-Unity-Socket
Jun 2020 - Nov 2022
Contributions:6 commits, 5 pushes, 1 branch in 2 years 5 months
ConorZAM/AerodynamicObjects
Nov 2021 - Sep 2022
A low order, approximate aerodynamics model for rigid bodies simulated in Unity
Contributions:43 commits, 1 PR, 40 pushes in 9 months
rigid-bodies
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