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Filippo Ascolani

Assistant Professor of Statistical Science
Statistical Science
214 Old Chemistry, Box 90251, Durham, NC 27708-0251
415 Chapel Drive, 214 Old Chemistry, Durham, NC 27708-0251

Current Appointments & Affiliations


Assistant Professor of Statistical Science · 2024 - Present Statistical Science, Trinity College of Arts & Sciences

Recent Publications


Scalability of Metropolis-within-Gibbs schemes for high-dimensional Bayesian models

Journal Article Journal of the Royal Statistical Society Series B: Statistical Methodology · January 14, 2026 AbstractWe study general coordinate-wise Markov chain Monte Carlo schemes (such as Metropolis-within-Gibbs samplers), which are commonly used to fit Bayesian non-conjugate hierarchical models. We relate t ... Full text Cite

An R Package for Nonparametric Inference on Dynamic Populations with Infinitely Many Types.

Journal Article Journal of computational biology : a journal of computational molecular cell biology · December 2024 Fleming-Viot diffusions are widely used stochastic models for population dynamics that extend the celebrated Wright-Fisher diffusions. They describe the temporal evolution of the relative frequencies of the allelic types in an ideally infinite panmictic po ... Full text Cite

Nonparametric priors with full-range borrowing of information

Journal Article Biometrika · September 1, 2024 Modelling of the dependence structure across heterogeneous data is crucial for Bayesian inference, since it directly impacts the borrowing of information. Despite extensive advances over the past two decades, most available methods only allow for nonnegati ... Full text Cite
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Education, Training & Certifications


Bocconi University (Italy) · 2024 Ph.D.
University of Turin (Italy) · 2019 M.S.

External Links


Personal webpage