Age, Biography and Wiki

Stephen Muggleton was born on 6 December, 1959, is an Artificial intelligence researcher. Discover Stephen Muggleton's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is he in this year and how he spends money? Also learn how he earned most of networth at the age of 64 years old?

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Age 64 years old
Zodiac Sign Sagittarius
Born 6 December, 1959
Birthday 6 December
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We recommend you to check the complete list of Famous People born on 6 December. He is a member of famous researcher with the age 64 years old group.

Stephen Muggleton Height, Weight & Measurements

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Stephen Muggleton Net Worth

His net worth has been growing significantly in 2023-2024. So, how much is Stephen Muggleton worth at the age of 64 years old? Stephen Muggleton’s income source is mostly from being a successful researcher. He is from . We have estimated Stephen Muggleton's net worth, money, salary, income, and assets.

Net Worth in 2024 $1 Million - $5 Million
Salary in 2024 Under Review
Net Worth in 2023 Pending
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Source of Income researcher

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1959

Stephen H. Muggleton FBCS, FIET, FAAAI, FECCAI, FSB, FREng (born 6 December 1959, son of Louis Muggleton) is Professor of Machine Learning and Head of the Computational Bioinformatics Laboratory at Imperial College London.

1982

Muggleton received his Bachelor of Science degree in computer science (1982) and Doctor of Philosophy in artificial intelligence (1986) supervised by Donald Michie at the University of Edinburgh.

1987

Following his PhD, Muggleton went on to work as a postdoctoral research associate at the Turing Institute in Glasgow (1987–1991) and later an EPSRC Advanced Research Fellow at Oxford University Computing Laboratory (OUCL) (1992–1997) where he founded the Machine Learning Group.

1997

In 1997 he moved to the University of York and in 2001 to Imperial College London.

Muggleton's research interests are primarily in Artificial intelligence.

From 1997 to 2001 he held the Chair of Machine Learning at the University of York and from 2001 to 2006 the EPSRC Chair of Computational Bioinformatics at Imperial College in London.

2013

Since 2013 he holds the Syngenta/Royal Academy of Engineering Research Chair as well as the post of Director of Modelling for the Imperial College Centre for Integrated Systems Biology.

He is known for founding the field of Inductive logic programming.

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, Cigol, Golem, Progol and Metagol and applications – especially biological prediction tasks.

He worked on a Robot Scientist together with Ross D. King that is capable of combining Inductive Logic Programming with active learning.

His present work concentrates on the development of Meta-Interpretive Learning, a new form of Inductive Logic Programming which supports predicate invention and learning of recursive programs.