Foster Provost

Foster Provost is Professor of Data Science and Information Systems and Andre Meyer Faculty Fellow at New York University's Stern School of Business. He is also the Director for the Data Science and AI Initiative at Stern's Fubon Center for Technology, Business and Innovation.[1] Professor Provost has a Bachelor of Science from Duquesne University in physics and mathematics and a Master of Science and Ph.D. in computer science from the University of Pittsburgh.

Foster Provost
Foster Provost
CitizenshipUnited States of America
Alma materDuquesne University, University of Pittsburgh
Scientific career
FieldsData Science
Information Systems
InstitutionsNew York University Stern School of Business

Professor Provost is known for his work on evaluating machine learning algorithms using ROC analysis, for his work on social network data analysis, for his work on combining humans and machine learning, and for his work on machine learning for targeted marketing, online advertising, and activity monitoring.

He has won awards for his work, including:

  • The 2017 European Research Paper of the Year (AIS & CIONET).[2]
  • The best paper in the journal Information Systems Research in 2015.[3]
  • The 2009 INFORMS Design Science award for social network-based marketing,[4]
  • IBM Faculty Awards for outstanding research in data mining and machine learning,
  • A President’s Award from NYNEX Science and Technology
  • Best Paper Awards from the ACM SIGKDD conference in 1997, 2008, and 2012,[5][6] and
  • Awards in SIGKDD’s annual KDDCUP data mining competition.[7]

Professor Provost was on the founding teams for five startups, including Dstillery, Integral Ad Science (IAS), Everyscreen Media, Predicube, and Detectica.

Professor Provost is coauthor (with Tom Fawcett) of the book, Data Science for Business, which often tops Amazon's best-seller lists in data mining and data modeling.[8]

Professor Provost is a Scientific Advisor for the ISI Foundation (which awards the Lagrange Prize), served as Editor-in-Chief of the journal Machine Learning for 6+ years. He is a member of the editorial boards of the Journal of Machine Learning Research (JMLR) and the journal Data Mining and Knowledge Discovery (DMKD/DAMI). He was elected as a founding board member of the International Machine Learning Society.

Sources
  1. "Fubon Center for Technology, Business and Innovation". www.stern.nyu.edu.
  2. "European Research Paper of the Year." Retrieved on 2017-08-29.
  3. "Information Systems Research" Retrieved on 2017-08-29.
  4. "Announcements of the winners for the Design Science Award" Archived 2011-01-01 at the Wayback Machine Retrieved on 2011-02-23.
  5. "List of Awards for ACM KDD 1997" Retrieved on 2011-02-23.
  6. "List of Awards for ACM KDD 2008" Retrieved on 2011-02-23.
  7. "KDD Cup 2003 - Results". www.cs.cornell.edu.
  8. Provost, Foster; Fawcett, Tom (2013). Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (1 ed.). ISBN 978-1449361327.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.