Areas of interest, study and personal experimentation. A journey connecting disciplines, formulating questions and documenting what emerges.
Models, agents and intelligent systems: understanding how they work, exploring their possibilities and recognising their limits.
How can an automated proposal be made understandable while leaving decisions to people?
Networks, security and connected systems. From observing traffic to building verifiable evidence.
How can a network signal be connected to an investigation with verifiable evidence?
Computer organisation, the relationship between hardware and software, and the principles that make computation possible.
How do memory, the processor and computer organisation affect software behaviour?
Architecture, code quality and maintainable systems. Designing solutions that can evolve over time.
How can collection, interface and persistence be separated so a system can evolve?
Where people and technology meet: accessibility, interaction and human-centred design.
How can roles and interactions be organised for people sharing a care routine?
Data, structures and algorithms. Finding solutions, understanding their cost and making the reasoning reproducible.
How can matches respect constraints while making their reasoning understandable?
A question, a context, a hypothesis.
Tools, a method and reproducible tests.
Results, limits, code and references.