CV

Education

• Ph.D in Statistics, University of Edinburgh, 2025
• M.S.c in Statistics, University of St. Andrews, 2019

Work experience

• Dec 2025 - Current: Research Associate
  • Imperial College London, Department of Epidemiology and Biostatistics
  • Programme: Cancer Data Driven Detection (CD3)
  • Reported to: Prof. Marta Blangiardo and Assoc. Prof. Bethan Davis
  • Duties included:
    • UK spatio-temporal cancer mapping with environmental exposures
• Nov 2019 - Sep 2021: Research Assistant
  • Imperial College London, Department of Epidemiology and Biostatistics
  • Project: Spatio-temporal dynamics of arboviral diseases in Brazil under climate change
  • Reported to: Prof. Marta Blangiardo and Dr. Monica Pirani
  • Duties included:
    • Jointly modelled dengue and Zika using Bayesian INLA on HPC
    • Collaborated with the University of São Paulo on data collection, interpretation, and dissemination
    • Processed climate and geospatial satellite data using Google Earth Engine

Skills

• R
  • INLA
  • inlabru
• Python
• SAS
• SQL
• C++
• JavaScript

Publications

Influence of river incision on landslides triggered in Nepal by the Gorkha earthquake: Results from a pixel-based susceptibility model using inlabru

Suen, M. H., Naylor, M., Mudd, S., & Lindgren, F. (2026). Influence of river incision on landslides triggered in Nepal by the Gorkha earthquake: Results from a pixel-based susceptibility model using inlabru. arXiv preprint arXiv:2507.08742..

Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data

Suen, M. H., Naylor, M., & Lindgren, F. (2026). Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data. Environmetrics, 37(2), e70078. https://doi.org/10.1002/env.70078

inlabru: software for fitting latent Gaussian models with non-linear predictors

Lindgren, F., Bachl, F., Illian, J., Suen, M. H., Rue, H., & Seaton, A. E. (2024). inlabru: software for fitting latent Gaussian models with non-linear predictors. arXiv preprint arXiv:2407.00791.

Talks

Contributed Talk at INLA: past, present, and future

May 21, 2025

Talk at University of Glasgow, Glasgow, UK

Contributed Talk at CM Statistics 2023

December 18, 2023

Talk at HTW Berlin, Berlin, Germany

Contributed Talk at The Bayesian Young Statisticians Meeting (BaYSM)

September 01, 2021

Talk at online, online

Teaching

Teaching experience at Imperial College London

Workshop: Introduction to Bayesian spatial statistics with inlabru in R

Teaching experience at University of Edinburgh

Teaching experience at Imperial College London