Hi !

I am a (part-time) PhD student in the Artificial Intelligence group in the school of computer science at the University of York and I work under the supervision of Dr. James Cussens.

My research topic is about "Learning probabilistic models of complex biological systems", which includes many aspects of machine learning and computational biology. My plan is to infer hidden components of cancer disease using Gaussian Processes and Stochastical Differential Equations.

Talks

• Literature review seminar: presented to YCCSA on 12th Spetember 2011.
• Literature review survey presented to York Cancer Research Unit on 3rd November 2011.

Publications

• None.

Some interesting books

• The biology of cancer.
• Pattern recognition and machine learning.
• Learning and inference in computational systems biology.
• Gaussian Processes for machine learning.
• Probability and random processes.
• Stochastic differential process.
• Stochastic modelling for systems biology.
  

Prior to that, I completed my MSc degree from the University of Manchester, with distinction. My thesis was about Learning the correspondence between images and sounds of talking faces. The obtained generative model does not make use of labels, clustering or any other conventional technique. However, it is based on an unsupervised probabilistic learning. The following is an example of a synthesised animation, given speech, compared to Real Video.

A copy of my current Curriculum Vitae can be found here.

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York Centre for Complex Systems Analysis, RCH 230-2, The Hub, Deramore Lane , University of York, York YO10 5GE, UK.