Research

My research focuses on Bayesian methods for latent function inference and stochastic processes, with applications in infectious disease epidemiology. I am especially interested in computationally efficient methods and in how modeling assumptions affect statistical conclusions.

Selected Publications

Gaussian process priors with Markov properties for effective reproduction number inference
Journal of the Royal Statistical Society, Series A (2026), with Volodymyr M. Minin
Computationally efficient Gaussian process priors with Markov properties for estimating changes in disease transmission over time.

Unjustified Poisson assumptions lead to overconfident estimates of the effective reproductive number
Epidemiology & Infection (2026), with Barbora Němcová, Isaac H. Goldstein, Volodymyr M. Minin, and Johannes Bracher
Investigation of how observation model assumptions affect uncertainty in estimates of the effective reproduction number.

Mapping sub-national respiratory virus circulation in Cambodia using metatranscriptomic sequencing: a multi-center hospital-based surveillance study
Influenza and Other Respiratory Viruses (2026), with Christina Yek and collaborators
A study of the geographic and temporal circulation of respiratory viruses in Cambodia.

HIV remains a risk factor for unfavorable tuberculosis treatment outcomes in the era of universal access to antiretroviral therapy in Botswana
medRxiv preprint (2025), with ISI-BUDS students from summer 2025
An analysis of the relationship between HIV and tuberculosis treatment outcomes in Botswana.