معرفی
Dr Marco Battiston is a Lecturer (equivalent to Assistant Professor) in Statistics at Lancaster University, UK, based in the School of Mathematical Sciences. His research integrates Bayesian non-parametric methods with machine learning, privacy, and modern data-science challenges.
Research Interests
- Bayesian non-parametric statistics and prior construction
- Statistical machine learning and graphical models
- Privacy-preserving data analysis and differential privacy
- Feature allocation, missing mass, and species sampling
- Variable selection in high-dimensional regression
Across 12 peer-reviewed papers (2017–2025) he has advanced theory and methodology for stochastic block models, disclosure risk assessment, robust variable selection and the estimation of small probabilities in feature-sampling settings. His work appears in top outlets such as Journal of Computational and Graphical Statistics, Statistics and Computing, JMLR, and Annals of Applied Probability.
PhD Supervision & Collaboration
Battiston is actively supervising doctoral researchers (names not disclosed in the source material) and collaborates with international scholars including F. Ayed, C. Nemeth, S. Favaro, Y. W. Teh, and L. Rimella.
Contact
- Email: m.battiston@lancaster.ac.uk
- Tel: +44 1524 592850
- Office: Fylde College, Lancaster University, LA1 4YF, UK
- ORCID: 0000-0003-0954-1244
