A member of the DataSHIELD team since January 2020, I am assisting Professor Paul Burton with documentation, code testing and outreach aspects of developing DataSHIELD (project Github). The position is funded by EUCAN Connect, the EU-Canadian health data research consortium. I have a degree in Mathematics and Economics (BSc) from Newcastle University, where my major focus in third year was on Mathematical Statistics. This is my first full-time employment role since graduation.

My current work focuses on code reviews and other support activities for the DataSHIELD privacy-preserving health data analysis statistical project. 

With a frequent update schedule, it is important to ensure functions being released adhere to high standards of quality control, and ensure that analyses using DataSHIELD can be fully trusted not to disclose private data which may be under investigation. Thus all parts of the code- from the client-side, to server-side, to other supporting code are under constant review, checking how and where the data is processed and transmitted. I am especially interested in learning more about this aspect of my work, becoming more well-versed in modern standards and methods, and building on my experience in this field.

In the near future, I hope to contribute to an upcoming paper on non-disclosive statistical visualisations, led by my colleague Demetris Avraam.