Published

Journals

Project: Approximate Bayesian inference in a model for self-generated gradient collective cell movement
with Jon Devlin, Dirk Husmeier and John Mackenzie
published in Computational Statistics, 2025

Project: Semi-Complete Data Augmentation,
with Ruth King published in Journal of Computational and Graphical Statistics, 2022

Project: Bayesian Optimisation for Efficient Parameter Inference in a Cardiac Mechanics Model of the Left Ventricle,
with Hao Gao, Alan Lazarus and Dirk Husmeier published in International Journal for Numerical Methods in Biomedical Engineering, 2022

Project: Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics
with Lukasz Romaszko, Alan Lazarus, David Dalton, Colin Berry, Xiaoyu Luo, Dirk Husmeier and Hao Gao
published in Artificial Intelligence in Medicine, 2021

Project: Gaussian Process Enhanced Semi-Automatic ABC: Parameter Inference in a Stochastic Differential Equation System for Chemotaxis
with Diana Giurghita and Dirk Husmeier
published in Journal of Computational Physics, 2020

Project: Partially Censored Posterior for Robust and Efficient Risk Evaluation
with Lennart Hoogerheide, Siem Jan Koopman and Herman K. van Dijk
published in Journal of Econometrics, 2020

Project: Time-varying Combinations of Bayesian Dynamic Models and Equity Momentum Strategies
with Nalan Baştürk, Stefano Grassi, Lennart Hoogerheide and Herman K. van Dijk
published in Journal of Econometrics, 2018

Project: Bayesian Dynamic Modeling of High-Frequency Integer Price Changes
with István Barra and Siem Jan Koopman
published in Journal of Financial Econometrics, 2018

Conferences

Project: Closed-loop effects for modelling and inference in a pulmonary hypertension model
with Mihaela Paun, Mitchel J. Colebank, Mette S. Olufsen and Dirk Husmeier

Project: Predicting left ventricle geometries
with Lukasz Romaszko, Alan Lazarus, Hao Gao, Xiaoyu Luo and Dirk Husmeier

Submitted and under review

Project: Bayesian Risk Forecasting for Long Horizons with Lennart Hoogerheide and Siem Jan Koopman

Theses

  • Methods for Accurate and Efficient Bayesian Analysis of Time Series, PhD Thesis

    Abstract

  • Bayesian Risk Evaluation using Importance Sampling, MPhil Thesis in Econometrics

    Abstract

  • Sequential Monte Carlo: Selected topics, Bachelor Thesis in Mathematics

    Abstract

  • The Application of the DSGE-VAR Model to the Polish Macroeconomic Data, Master Thesis in Economics

    Abstract