Thomas Pinder
Statistician and software developer focused on Gaussian processes and Bayesian causal inference, author and lead of the GPJax library and creator of Impulso for VAR modeling.
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Mar 25, 2026 • 1h 26min
#154 Bayesian Causal Inference at Scale, with Thomas Pinder
Thomas Pinder, statistician and GPJax creator focused on Gaussian processes and Bayesian causal inference. He explains why GPJax was built for flexible, high-performance GP research. He discusses Bayesian approaches to causal inference, synthetic controls and SDID, and practical tradeoffs for scaling GPs and using hierarchical models in industry.
