Biography:Radford M. Neal

From HandWiki
Short description: Canadian computer scientist and statistician (born 1956)
Radford M. Neal
Born (1956-09-12) September 12, 1956 (age 67)[1]
EducationUniversity of Calgary
University of Toronto
Scientific career
FieldsStatistics, Machine Learning, Artificial Intelligence
InstitutionsUniversity of Toronto
ThesisBayesian Learning for Neural Networks (1995)
Doctoral advisorGeoffrey Hinton
Other academic advisorsDavid Hill

Radford M. Neal is a professor emeritus at the Department of Statistics and Department of Computer Science at the University of Toronto, where he holds a research chair in statistics and machine learning.

Education and career

Neal studied computer science at the University of Calgary, where he received his B.Sc. in 1977 and M.Sc. in 1980, with thesis work supervised by David Hill. He worked for several years as a sessional instructor at the University of Calgary and as a statistical consultant in the industry before coming back to the academia. Neal continued his study at the University of Toronto, where he received his Ph.D. in 1995 under the supervision of Geoffrey Hinton.[2] Neal became an assistant professor at the University of Toronto in 1995, an associated professor in 1999 and a full professor since 2001. He was the Canada Research Chair in Statistics and Machine Learning from 2003 to 2016 and retired in 2017.

Neal has made great contributions in the area of machine learning and statistics, where he is particularly well known for his work on Markov chain Monte Carlo,<ref> {{cite report | last = Neal | first = Radford | title = Probabilistic Inference Using Markov Chain Monte Carlo Methods | pages = 144


Books and chapters

Selected papers