Research Interests

Methodology

  • Bayesian Statistics
  • Computational Statistics
  • Applied Probability and Mathematical Biology

Areas of Application

  • Evolutionary processes: phylogenetics, phylogeography, phylodynamics, and coalescent theory.
  • Epidemiology and Infectious Diseases: modeling the spread of infectious diseases and identifying the factors driving viral evolution.

Projects

Preprints coming soon …

  1. Monti F. and Suchard M.A. Non-parametric modeling of CTMCs with an application to phylogenetics (2025+)
  2. Monti. F., Ji X., Lemey P., and Suchard M.A. What drives Population fluctuations? Non-parametric Bayesian Coalescent-based modeling with covariates (2025+)

Work in Progress

  1. Monti F. And Suchard M.A. Dependencies between stochastic processes over trees
  2. Monti F., Holbrook A. and Suchard M.A. Scalable flexible Ornstein–Uhlenbeck processes over trees