Hi! I’m Iwona, a mathematical modeller and data scientist. Currently I’m working as a postdoctoral researcher at the Department of Infectious Disease Epidemiology at Imperial College London. I’m part of the Machine Learning and Global Health network.

My work focuses on applications of modern Machine Learning and Statistical methods to various aspects on infectious disease modelling. In my PhD thesis, I looked at developing statistical methods for characterising the severity of emerging pathogen, with a special focus on COVID-19 pandemic.

Outside of academia I’ve worked as a Data Scientist in few different industries: working with clinical data and medical images for building decision support systems in hospitals, evaluating exposure risks for ingredients in cosmetics and food compounds, and applying Bayesian modelling in cybersecurity for detection of anomalous behaviours.

Work and research interests

• Machine Learning
• Deep Learning
• Modern Statistics
• Bayesian Statistics
• Mathematical Modelling
• Probabilistic Programming
• Gaussian Processes
• Computer Vision
• Anomaly detection
• Public Health
• Infectious Disease Epidemics

Details on the projects I worked on can be found in the Projects tab.

Background

I hold a PhD in Infectious Disease Epidemiology from Imperial College London (2024). I also got an MSc in Applied Mathematics from University of Helsinki and a BSc in Mathematics from University of Wroclaw.

I have 2+ years of experience of working in the industry as a Research Data Scientist.

More details in the CV tab.