# Ayman Boustati

## Profile:

I am a third year PhD student in the Mathematic for Real-World Systems CDT under the supervision of Dr Theo Damoulas. My main area of research is in Probabilistic Machine Learning. I work on developing methodology for transfer learning and multitask learning for Gaussian Process models (of the shallow and deep varieties!). I am also interested in inference in general, especially scalable methods such as Variational Inference.

## Background:

• MSc in Mathematics for Real-World Systems from the University of Warwick 2015-2016
• Master of Mathematics, Operational Research, Statistics and Economics from the University of Warwick 2011- 2015

## Current Projects:

• I am currently working on my PhD project: Mutitask and Transfer Learning in Gaussian Process Models. I was supervised by Dr Richard Savage and now Dr Theo Damoulas.

## Research Interests:

• Gaussian Processes
• Multitask and Transfer Learning
• Bayesian Inference (mainly Variational Inference)
• Statistical Machine Learning and Probabilistic Modelling
• Learning Representations
• Theory and Applications of Deep Learning

## Contact:

$\mbox{a.boustati@warwick.ac.uk}$