Bio: Scientific Officer at the WMO,
dedicated to innovative solutions for a better world.
Location: Geneva, Switzerland
Rory Burke
β Who I Am
Presently, I am a scientific officer of the WMO Information System (WIS) team at the WMO Secretariat in Geneva, Switzerland. My work is primarily that of a full-stack developer contributing to open-source projects. This involves creating robust backend solutions for data format conversion, quality control, and downloading, alongside designing user-friendly frontend interfaces for both web and desktop applications.
Coming from a mathematical background, with a masterβs degree from the University of Warwick, I also have a strong interest in academic research - particularly in statistics and machine learning.
My unique strength lies in combining in-depth technical skills with the ability to effectively communicate complex solutions in an easily understandable way, bridging the gap between detailed technical execution and clear, relatable explanations.
π§° Languages and Tools
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π¨βπ» My Coding Journey
During the first year of my mathematics degree, I quickly became fascinated by the idea of building mathematical models to represent diverse real-world scenarios. I knew that I needed to improve my coding skills to explore this properly, so I engaged in many modules that offered this - simulating physics, epidemiological outbreaks, and more. These skills landed me an internship at BT Group where I had the chance to put my theoretical knowledge of machine learning into action. Here, I researched the effectiveness of deep autoencoders in detecting malicious network data. After this, in my master's degree, I took every opportunity I could to continue exploring this avenue of research - from comparing the structure of brain networks using stochastic block models, to ranking coupled climate models using statistical distances. Once I graduated, I was fortunate enough to land a developer role as a scientific officer in the World Meteorological Organization, where I have learnt containerisation, back-end development, and front-end design. Who knows what awaits me in the future: I may continue as a full-stack developer, I may return to data science, or perhaps a combination of the two!
An implementation of a Bayesian formulation of the weighted stochastic block model (WSBM) to analyse the structural differences in brain connectivity across different age groups using functional connectivity matrices.