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Hey!

Who I am

Hey! I'm a Research Associate in Statistical Machine Learning at the University of Bristol, working with Christophe Andrieu. My research focuses on standard Bayesian inference, and generative models (VAEs, GANs, Normalizing Flows, Diffusion Models, Transformers). Before that, I was a PhD student in Computational Statistics and Data Science and I worked on Approximate Manifold Sampling and Integrator Snippets, especially applied to likelihood-free inference and Bayesian inverse problems. I organize the Generative Models Reading Group.

Where to find more information about me

On my website you can read:

API Portfolio

Mauro Camara Escudero's Projects

aisafely icon aisafely

Content for my instagram and tiktok accounts on AI Safety

bipmanifoldexperiments icon bipmanifoldexperiments

Experiments on a simple 2D Bayesian Inverse Problem using Approximate Manifold Sampling and HMC

compass icon compass

Example package for Statistical Computing 1 portfolio at the University of Bristol.

compass-seminar icon compass-seminar

A tutorial on Amortised Approximate Ratio Estimation for the COMPASS Seminar Series at the University of Bristol.

crosswordllm icon crosswordllm

A repository for playing around with crosswords, anagrams and cryptic crosswords with LLMs

dissertation icon dissertation

Third year mathematics dissertation on variational, laplace and mcmc approximations of bayesian logistic regression

gmrg icon gmrg

Reading Group on Generative Modelling at the University of Bristol

integratorsnippets icon integratorsnippets

Code implementing Integrator Snippets, joint work with Christophe Andrieu and Chang Zhang

logisticregression icon logisticregression

Base R Implementation of Logistic Regression from Scratch with Regularization, Laplace Approximation and more

nanogpt icon nanogpt

NanoGPT model inspired by Andrey Karpathy

perfectrpackage icon perfectrpackage

This is an example RPackage created for the Statistical Computing portfolio.

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