معرفی
Filippo Pagani is a Postdoctoral Research Fellow at the University of Warwick, working on the OCEAN grant under Professors Gareth Roberts and Adam Johansen. His research focuses on advanced statistical methodologies and their applications in diverse fields such as healthcare and astrophysics.
His research interests include:
- Markov Chain Monte Carlo (MCMC)
- Variational Inference
- Tempering and Irreversibility techniques
- Bayesian Statistics and Machine Learning
- Applications in disease subtyping, biomarker discovery, and inverse problems
Recent publications explore topics such as Bayesian outcome-guided models for precision medicine, numerical methods for MCMC sampling (e.g., ZigZag algorithms), and applications in astrophysical data analysis. Notable works include contributions to disease subtyping via variational mixtures and modeling the impact of the COVID-19 pandemic on healthcare systems.
He is affiliated with the OCEAN grant and has contributed to short-term forecasting models during the early stages of the pandemic. No formal advisees are listed.
