Bio

Research Fellow, SPHERE (an EPSRC IRC)

Department of Electric and Electronic Engineering, University of Bristol

Member of:

 

Tom Diethe was born in London, UK, in 1977. He received a B.Sc. in Experimental Psychology from the University of Bristol in 2000, then taking up an industrial research position at QinetiQ, where in 2004 he received the Future Systems Technology division “Star Award” for outstanding achievement. In 2005 he received an M.Sc. with distinction and best project award in Intelligent Systems, and then in 2010 received a Ph.D. in machine learning applied to multivariate signal processing, both from University College London. After two post-doctoral positions inthe departments of Computer Science and Statistical Science at UCL, he has since worked for the British Medical Journal and Microsoft Research Cambridge, before taking up a position as a Research Fellow for the SPHERE IRC at the Department of Electrical Engineering of the University of Bristol. His current research interests include probabilistic machine learning, computational statistics, learning theory, and data fusion.

Qualifications:

  • BSc Hons. Experimental Psychology, University of Bristol
  • MSc (Distinction). Intelligent Systems, University College London
  • PhD. Machine Learning applied to multivariate signal processing, University College London

Former positions:

  • Researcher, Machine Learning and Perception Group, Microsoft Research Cambridge
  • Machine Learning Consultant, British Medical Journal Group, London
  • Post-Doctoral Research Associate, Department of Statistical Science, University College London
  • Post-Doctoral Research Associate, Department of Computer Science, University College London
  • Senior Software Engineer, Centre for Human Sciences, QinetiQ