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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.

Previous Projects:

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}

    External Links: