Trevor Hastie

Trevor Hastie is the John A Overdeck Professor of Statistics at Stanford University. Hastie is known for his research in applied statistics, particularly in the fields of statistical modeling, bioinformatics and machine learning. He has published six books and over 200 research articles in these areas. Prior to joining Stanford University in 1994, Hastie worked at AT&T Bell Laboratories for nine years, where he contributed to the development of the statistical modeling environment popular in the R computing system. He received a B.Sc. (hons) in statistics from Rhodes University in 1976, a M.Sc. from the University of Cape Town in 1979, and a Ph.D from Stanford in 1984. In 2018 he was elected to the U.S. National Academy of Sciences. He is a dual citizen of the United States and South Africa.

Academic Appointments

• Professor, Statistics
• Professor, Biomedical Data Science
• Member, Bio-X
• Member, Maternal & Child Health Research Institute (MCHRI)
• Member, Institute for Computational and Mathematical Engineering (ICME)
• Member, Stanford Cancer Institute
• Member, Wu Tsai Neurosciences Institute

Administrative Appointments

• Chair, Department of Statistics (2006 - 2009)

Honors & Awards

• Breiman Award (senior), American Statistical Association (2020)
• Elected Member, The Royal Netherlands Academy of Arts and Science. (2019)
• Sigillum Magnum, Bologna University (2019)
• Elected Member, United States National Academy of Sciences (2018)
• Honorary Doctorate, Leuphana University of Luneburg, Germany (2018)
• The Emmanuel and Carol Parzen prize for Statistical Innovation, Texas A&M University. (2014)
• Bernard G. Greenberg distinguished lecturer, Department of Biostatistics, University of North Carolina (2013)
• Fellow, South African Statistical Association (2011)
• Fellow, American Statistical Association (1998)
• Craig Award, University of Iowa (1996)
• Fellow, Institute of Mathematical Statistics (1996)
• Myrto Lefkopolou award, Harvard School of Public Health (1996)
• Elected Member, International Statistics Institute (1994)
• Fellow, Royal Statistical Society (1979)

Professional Education

• Ph.D., Stanford University, Statistics (1984)
• M.Sc, University of Cape Town, Statistics (1979)
• B.Sc (hons), Rhodes University, Statistics (1976)