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About me

• 👋 Hi, I’m @svilupp!
• 👀 I’m interested in Bayesian and Causal Inference, because the world is an uncertain place ready to be intervened on!
• 🎯 My aspiration is unlocking Generative AI's 100x potential (🔗 see my blog: svilupp.github.io or try my packages: PromptingTools, LLMTextAnalysis, AIHelpMe)
• 📫 How to reach me? Probably the best way is right here or on Julia Slack!

Why this repo?

Things get outdated quickly...

I hope to share several examples of interesting models that I have worked on in my personal capacity:

• Causal inference for better sleep - How restful would your sleep be with 1) a weighted blanket and 2) CBD drops? (EconML and generative modelling case study with OURA ring data)
• Hierarchical Bayesian models for outlier detection in deeply nested event data (Numpyro multilevel model with multivariate COPULA-based wrapper on top)
• An interactive business case with full-on uncertainty (Bayesian model with a tool for priors elicitation from SMEs, delivered as an interactive data app in Streamlit)
• Can you beat a simple memory-based recommendation when you have extremely sparse interaction data? (LightFM case study)

And something just for fun

• Deep (not deep-dish! pure Napoli-style!) pizza classifier, ie, how many samples does it take to tell Double pepperoni and Margharita apart?
• Why do we wait so much in NHS hospitals? (Discrete-event-simulation-based case study)