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Aland Astudillo

Aland Astudillo

Biomedical engineer, data scientist and AI consultant

Gold Coast, Queensland, Australia · English and Spanish

For ten years I have built data and AI systems for hospitals, governments, universities and companies. Imaging pipelines, retrieval and knowledge systems, forecasting and operational reporting, and the governance work that has to happen before any of it touches a real decision. The kind that have to keep working after the pilot ends.

Selected work

What I work on

I usually come in when the problem is still vague. Scoping it with the people who own it, mapping the process, designing and prototyping, then the data science itself: machine learning and statistical modelling, AI and LLM applications, retrieval augmented generation and knowledge graphs, and the AI governance and risk work that lets an organisation put any of it in front of the public.

Mostly in health, government, research and industry, where the data is messy and the constraints are real.

Presenting a comparison of data roles to a seminar audience
Presenting on where data roles actually sit, from pipelines and modelling through to business insight and storytelling. I work across most of that spectrum, which is why the handover between one part and the next is usually where I am useful. Chart after A Guide to Data Roles, Data Captain. AI Horizons, 2023.

Experience

Tools

Document intelligence and RAG systems, knowledge graphs, agentic systems, clinical data pipelines, time series forecasting and medical image analysis.

Organisations I work with

What keeps my attention

Two lines of work. In industry, AI in settings where being wrong has a cost: health, government, anything with a regulator. The interesting problem there is rarely the model, it is the evaluation, the governance, and the handover to the people who have to live with it. In research, how brain activity organises itself over time, which is what my PhD was about and what I still publish on.

Applied AI writing

Background

Research and writing

Peer-reviewed research in computational and cognitive neuroscience: statistical modelling of brain dynamics, signal processing and clustering, and computational models of neural activity, across both clinical and basic neuroscience. Further published work on retrieval augmented generation and knowledge graphs. Around twenty conference presentations across Australia, Chile, Canada and Italy, and a popular-science book on the brain. The full record is on Google Scholar and ORCID.

Profiles

Professional

Publications and research

Affiliations and expert registers

Contact

The quickest way to reach me is LinkedIn.