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 inComputational Statistics and Data Science and I worked onApproximate Manifold Sampling andIntegrator Snippets, especially applied to likelihood-free inference and Bayesian inverse problems. I organize theGenerative Models Reading Group. In my spare time, I also work as a ML contractor for a number of clients.

On mywebsite you can read:

• Machine Learningposts
• Industry Collaborations during my PhD (e.g. with Wessex Water, EcoPowerSoft).
• Talks
• Short Computational Statistics Courses I have written.
• Coding Portfolio

• Spotify Wrapped Weekly
• YouTube Comments LDA + SA

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1. chriscoles01/simon-singschriscoles01/simon-singsPublic

   A game for the visually impaired, 2nd place MLH Hack the South 2019

   Python 2

2. IntegratorSnippetsIntegratorSnippetsPublic

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

   Python 3 1

3. Spotify-Wrapped-WeeklySpotify-Wrapped-WeeklyPublic

   Using Python to grab recently played songs from Spotify API and chart.js to display a SpotifyWrapped.

   Python 2

4. GMRGGMRGPublic

   Reading Group on Generative Modelling at the University of Bristol

   5

5. PythonBRMLtoolboxPythonBRMLtoolboxPublic

   Python 3.7 version of David Barber's MATLAB BRMLtoolbox

   Python 26 3

6. DanteGPTDanteGPTPublic

   DanteGPT

   Python 3 1