Professor of Mathematical Statistics
Research Interests: Mathematical Statistics; specifically high-dimensional inference, Bayesian nonparametrics, statistics for PDEs and inverse problems, empirical process theory.
Publications
Inferring diffusivity from killed diffusion
(2026)
On gradient stability in nonlinear PDE models and inference in interacting particle systems
– arxiv preprint
(2026)
(doi: 10.48550/arxiv.2601.10326)
On low frequency inference for diffusions without the hot spots conjecture
– Mathematical Statistics and Learning
(2025)
8,
305
(doi: 10.4171/MSL/53)
Bayesian nonparametric inference in McKean–Vlasov models
– The Annals of Statistics
(2025)
53,
170
(doi: 10.1214/24-AOS2459)
On log-concave approximations of high-dimensional posterior measures and stability properties in non-linear inverse problems
– Annales de l Institut Henri Poincaré Probabilités et Statistiques
(2024)
60,
2619
(doi: 10.1214/23-AIHP1397)
On posterior consistency of data assimilation with Gaussian process priors: The 2D-Navier–Stokes equations
– Annals of Statistics
(2024)
52,
1825
(doi: 10.1214/24-aos2427)
Consistent inference for diffusions from low frequency measurements
– Annals of Statistics
(2024)
52,
519
(doi: 10.1214/24-AOS2357)
On free energy barriers in Gaussian priors and failure of cold start MCMC for high-dimensional unimodal distributions.
– Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
(2023)
381,
20220150
(doi: 10.1098/rsta.2022.0150)
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