Immersive scientific environments
I develop virtual reality, digital-dome and spatial-computing environments for exploring complex astronomical and Earth-observation data, including connected systems for collaborative analysis.
Immersive scientific visualisation · Machine learning · Astronomy
Alexander Sivitilli
I develop immersive and AI-assisted tools that help researchers explore complex scientific data, with applications in astronomy, planetary science and Earth observation.
Leverhulme Postdoctoral Research Associate at Armagh Observatory & Planetarium.
Current research
Three connected lines of work.
Human-centred AI interaction
I investigate natural-language interfaces, AI-assisted navigation and human-in-the-loop workflows that keep researchers actively involved in interpreting data and steering scientific systems.
Planetary science and machine learning
I develop and validate neural-network methods for identifying asteroid families, while using immersive visualisation to inspect real and synthetic training data and model behaviour.
About
Building tools, then studying how people use them.
My work sits at the intersection of scientific software, immersive environments, astronomy, machine learning and human interaction. I am interested not only in whether a new interface is technically possible, but in whether it genuinely makes difficult data easier to reason about.
That means combining development with observation and evaluation: creating the system, working with its users and separating productive interaction from novelty. The aim is immersion in service of better scientific questions, not immersion for its own sake.
See how this approach appears across current and previous projectsContact
Let's make complex data easier to reach.
I welcome conversations about immersive scientific visualisation, research collaborations, digital-dome systems and interaction with complex data in three-dimensional space.