Posts
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Lessons learned in AI Governance
Having devoted the last 1.5 years to the domain of AI/ML Model Governance in a large multinational organisation, I would like to reflect on some key lessons I learned.
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My Journey from Climate Science into Responsible AI
How did I embark on a transformative journey into the realm of Responsible AI? In this article, I briefly outline the story of how I transitioned from an researcher in Climate Science into Data Science in industry, and then specialised on the responsible and ethical use of AI.
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Photo Clustering
How can my passions for photography and data science be combined? By using a pre-trained Deep Learning model to cluster hundreds of photos of course!
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Multi-objective optimisation and Pareto optimality
Often, we are interested in optimising a given problem across multiple objective functions simultaneously.
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Out-of-Sample Testing in Climate Science
This post discusses model-as-truth experiments (to gauge the skill of a calibrated statistical model on unseen data) as used in my 2018 Earth System Dynamics paper. Just as in statistical learning, out-of-sample testing in climate science is essential.
Welcome to my site! I hope you find something interesting here.
- Lessons learned in AI Governance
- My Journey from Climate Science into Responsible AI
- Photo Clustering
- Multi-objective optimisation and Pareto optimality
- Out-of-Sample Testing in Climate Science
- Climate Change Scarf
- Hackathon
- Combinatorial optimisation with Gurobi
- Visualising the model space with unsupervised learning
- Setting up Jekyll on GitHub Pages