Nathan is highly skilled in the design and application of Brain–Computer Interfaces, with expertise in AI techniques including deep learning and machine learning. His work integrates neurotechnology with human–computer interaction, supported by strong proficiency in user experience design and signal processing, particularly neuroimaging and quantitative EEG analysis.

He is proficient in multiple programming languages (Python, Java, C++) and experienced with development and visualisation tools such as Godot, Unity, Unreal Engine, Blender, and MATLAB. His expertise extends to human cognition, neuroprosthetics, and closed-loop bionic systems.