This PhD project! is part of the Data-mdapps project which is collaboration between Kingston University and the WHO European Office for the Prevention and Control of Noncommunicable Diseases (NCD Office) and focuses on addressing the challenges of developing a technical and security policy framework for digital health behavioural data processing. Data-Driven Decision Making (DOOM) refers to the practice of basing decisions on the analysis of the data rather than purely based on intuition. In the early days, decisions were made based on intuition, but with the popularity of the big data culture, the emphasis has shifted towards the data. This research aims to develop a ubiquitous technical and security implementation for digital health behavioural data that policymakers and other stakeholders can use for digital health behavioural data collection, transfer, cleansing, and analysis.
I started my career in UN, transitioning between different agencies until I shifted my focus entirely at WHO.
With my background in informatics and computer engineering and upon finishing my management degree, my job was related to addressing IT related issues across different areas and managing several projects related to the work with our office.
With the rise of demand of cloud computing and data management inside of our organization I centered my attention on these areas to tackle cybersecurity issues and other emerging problems.