Page Not Found
Page not found. Your pixels are in another canvas. Read more
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Page not in menu
This is a page not in th emain menu Read more
Posts
A Very Brief Introduction to Docker
Published:
I prepared this short introduction to Docker for my research group a few months ago. I decided to turn it into a blog post since I have already gone through the effort of writing it, so I might as well share it with the world! Read more
How to Setup a VM in Azure for Deep Learning?
Published:
I am quite interested in learning more about deep learning, but I find it quite difficult to implement some of the recent models on my laptop, due to their huge computational overhead on the CPU. Since, I do not have £1000 to spend on a new Titan X, I decided to try a cheaper solution on Microsoft’s cloud service Azure. If you are in a similar position to me, you might find this blog post helpful as I detail the setup of the cloud solution I used. Read more
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work. Read more
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work. Read more
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work. Read more
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
software
python_faims_toolkit
Library for reading FAIMS data into Python Read more
talks
Approximate Bayesian Computation Approximately!
Published:
Light hearted talk on Approximate Bayesian Computation (ABC) given at the annual retreat of my CDT. The talk can be viewed here. Read more
Gaussian Process Models for Multi-Task Learning
Published:
Multi-task learning refers to a framework in machine learning where multiple tasks sharing a common domain are learned simultaneously. In this talk, I explained how to incorporate this framework within Bayesian modelling using Gaussian process models. The talk describes the general structure of a multi-output GP, and explores some of the most common kernel structures that correspond to such models. The sildes are available here. Read more
Gaussian Processes with Non-Gaussian Likelihoods
Published:
In this tutorial, I gave a quick overview of some inference methods for Gaussian Processes with non-Gaussian likelihoods. The slides can be found here. Read more
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post. Read more
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post. Read more