Dr. Marco Canducci
University Researcher — UK Research and Innovation
School of Computer Science • University of Birmingham • Birmingham, UK
Developing probabilistic machine learning methods for scientific discovery, with applications in astrophysics, medical informatics, and materials science.
About
I am a University Researcher at the University of Birmingham, funded by UK Research and Innovation. My work focuses on developing novel probabilistic and machine learning methods — particularly manifold learning, swarm intelligence, and discriminative subspace approaches — and applying them to real-world scientific problems.
My research spans three domains: astrophysics (galaxy structure, cosmic filaments, stellar streams), medical informatics (multi-morbidity, disease progression, drug prescription patterns), and materials science (surrogate modelling for aerospace component manufacturing). I hold a PhD in Computer Science from the University of Birmingham and an MSc in Astrophysics & Astronomy from the University of Bologna.
Alongside my research, I teach at the University of Birmingham and co-supervise PhD, Master’s and Bachelor’s students. I am also active in public outreach, bringing science to general audiences in the UK and Italy.
Research Areas
Probabilistic Machine Learning
Developing probabilistic frameworks for manifold learning, Hough transforms, and subspace methods to extract structure from noisy, high-dimensional scientific data.
Astrophysics & Cosmic Structure
Applying machine learning to map the Large-Scale Structure of the Universe, detect stellar streams and cosmic filaments, and characterise galaxy properties from survey data.
Medical Informatics
Building computational tools to study multi-morbidity and disease progression in large patient populations, supporting clinical decision-making and epidemiological research.
Recent Publications
- A. Prete, M. Canducci et al. Endocrine and metabolic determinants of cardiometabolic risk in mild autonomous cortisol secretion. eBioMedicine (The Lancet), 2026.
- R. Baier-Soto et al. incl. M. Canducci. The role of supercluster filaments in shaping galaxy clusters. Astronomy & Astrophysics, 704 A228, 2025.
- L. Spina et al. incl. M. Canducci. Deep chemical tagging: Identifying open clusters and moving groups in chemical space with graph attention networks. Astronomy & Astrophysics, 702 A267, 2025.
- P. Awad et al. incl. M. Canducci. New insights from deep spectroscopic observations of the tidal tails of the globular clusters NGC 1261 and NGC 1904. Astronomy & Astrophysics, 693, 2025.
- A. Rabbai et al. incl. M. Canducci. Fertilization-induced greenhouse gas emissions partially offset carbon sequestration during afforestation. Soil Biology and Biochemistry, 199, 2024.
Contact
Office: Room 206, School of Computer Science, University of Birmingham, Edgbaston Campus, B15 1PQ, Birmingham, UK
Email: m.canducci@bham.ac.uk