I lead the design and development of data-driven software systems and infrastructures that turn complex data and scientific workflows into scalable, production-ready systems.

I work at the intersection of software engineering, data systems, artificial intelligence/ machine learning (AI/ML), and visual analytics, combining industry experience with applied research. My industry background includes engineering database software at Oracle and real-time industrial automation at ABB. My research and delivered software systems have supported applications ranging from radio astronomy and nuclear fusion to global health emergencies, seismology, environmental modelling, and enterprise information search.

I lead research and engineering projects, develop and publish in the area of data and service computing, and collaborate across academia, industry, and scientific organizations. My research focuses on Data & Service Computing, Applied AI/ML, and Visual Analytics, with current work spanning data virtualization, semantic search, scientific machine learning, and human-centred AI. I also contribute to research funding as a Co-PI on externally funded projects.