I am a PhD candidate in Statistics at Maynooth University, specialising in developing Bayesian machine learning models for non-ignorable missing data. My academic journey began with a BSc in Actuarial Science from City, University of London, followed by an MSc in Mathematics at Queen Mary, University of London. My research focuses on addressing the challenges of missing data through innovative statistical methodologies, with the aim of providing robust insights in data analysis. Passionate about bridging theory and practice, I actively collaborate with peers and seek real-world applications for statistical methods.

What do you most enjoy about your research with Insight?

One of the aspects I particularly enjoy about my research is the opportunity to engage in discussions and get to know other researchers’ work at events hosted by Insight. These platforms not only allow me to showcase my work but also foster meaningful exchanges with fellow researchers and professionals.

What is the most challenging aspect of doing a PhD?

It can be challenging to maintain motivation during extended periods of working on complex and novel problems without guaranteed solutions. The workload can also become overwhelming at times.

When you’re not working on your PhD, what pastimes do you enjoy?

In my free time, I try to find creative outlets for relaxing, such as baking, playing the guitar and going to rock/metal gigs and events. My friends and I also often have movie nights or play board games together.