Stephen Muggleton
Stephen Muggleton (born December 6, 1959) is Head of the Computational Bioinformatics Laboratory at Imperial College London.[1] He received his BSc in Computer Science (1982) and PhD in Artificial Intelligence (1986) where he was supervised by Donald Michie from the University of Edinburgh. He went on to work as a post-doctoral researcher at the Turing Institute in Glasgow (1987–1991) and later an EPSRC Advanced Research Fellow at Oxford University Computing Laboratory (1992–1997).
From 1997–2001 he held the Chair of Machine Learning at the University of York and from 2001–2006 the EPSRC Chair of Computational Bioinformatics at Imperial College in London. Since 2007 he holds the Royal Academy of Engineering Research Chair[2] as well as the post of Director of Modelling for the Imperial College Centre for Integrated Systems Biology.[2] He is known for founding the field of Inductive Logic Programming.[3] In this field he has made contributions to theory introducing predicate invention, inverse entailment and stochastic logic programs. He has also played a role in systems development where he was instrumental in the systems Duce, Golem and Progol[4][5] and applications — especially biological prediction tasks.
He and Stephen Emmott are currently (as of 2007) working on an “artificial scientist” that would be capable of combining inductive logic with probabilistic reasoning.[6]
References
- ^ "Professor Stephen H. Muggleton". Academic staff list. Imperial College. Retrieved 8 August 2010.
- ^ a b "Prof Stephen Muggleton". The Royal Institution of Great Britain. Retrieved 8 August 2010.
- ^ Muggleton, Stephen (1996). "2". In Stephen Muggleton (ed.). An initial experiment into stereochemistry-based drug design using Inductive Logic Programming (Paper). Springer-Verlag. p. 25. ISBN 3-540-63494-0. Retrieved 8 August 2010.
{{cite book}}: More than one of|pages=and|page=specified (help); Unknown parameter|coauthors=ignored (|author=suggested) (help); Unknown parameter|month=ignored (help) - ^ "Golem". AI Japanese Institute for Science. Retrieved 8 August 2010.
- ^ Machine learning: a multistrategy approach (Book). Morgan Kaufmann. 1994. p. 780. ISBN 0-934613-09-5. Retrieved 8 August 2010.
{{cite book}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - ^ "What computing can teach biology, and vice versa" (Subscription magazine). The Economist. 12. Retrieved 8 August 2010.
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External links
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