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Who I am

Hi! I'm a final-year PhD student in Computational Statistics and Data Science at the Univerisity of Bristol where I focus on combining generative models (VAEs, GANs and Normalizing Flows) with scalable sampling methods (MCMC and SMC samplers) to perform likelihood-free inference in large and complex big data applications. One of my main applications is population genetics, but my methods can be applied in ecology, astronomy, economics, biology and physics. I have developed the first family of algorithms for Approximate Manifold Sampling.

Where to find more information about me

On my website you can read:

API Portfolio

Mauro Camara Escudero's Projects

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.

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

perfectrpackage icon perfectrpackage

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

phdminiproject icon phdminiproject

COMPASS Year 1 Mini-Project that will evolve into a PhD Project. Expectation Propagation and Pseudo-Marginal MCMC

quenouille-prize-southampton icon quenouille-prize-southampton

This repository simply hosts a scan of the letter awarding me of the Quenouille Prize in Operational Research for the Best Overall UG Mathematics Performance at the University of Southampton

sc1-2019 icon sc1-2019

Source code for generating the Statistical Computing 1 website

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