Ernest Fokoue

Ernest Fokoue

Professor of Statistics

Rochester Institute of Technology

Biography

Ernest Fokoue is a professor of statistics at Rochester Institute of Technology in the School of Mathematical Sciences. His research interests include statistical learning technology, bayesian statistics, theoretical statistics, statistical machine learning, ring theory, computational statistics and epistemology. He leads the statistical machine learning and data science lab as well as the data science research group, which spearheads the creation and development of state of the art and avant-garde algorithms, learning machines and methods for knowledge discovery.

Ernest Fokoue is currently exploring the interface of differential equations and empirical processes, with the finality of reconciling first principles traditional mathematical modeling with empirical data driven approach of statistics and statistical machine learning.

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Interests
  • Statistical Learning Theory
  • Theoretical Statistics
  • Bayesian Statistics
  • Statistical Machine Learning
  • Computational Statistics
  • Ring Theory
  • Epistemology
  • Mysticism
Education
  • PhD in Statistics, 2001

    University of Glasgow

  • MSc in Neural Computation, 1998

    Aston University

  • Maitrise in Computer Science, 1989

    University of Yaounde

  • BSc in Mathematics, 1988

    University of Yaounde

Recent Publications

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(2013). An example conference paper. In ICW.

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Experience

 
 
 
 
 
Rochester Institute of Technology
Professor of Statistics
Mar 2019 – Present New York
Taught statistical machine learning, statistical theory, regression analysis and nonparametric statistics
 
 
 
 
 
Rochester Institute of Technology
Associate Professor of Statistics
Rochester Institute of Technology
Mar 2012 – Mar 2019 New York
Taught statistical machine learning, statistical theory, regression analysis and nonparametric statistics

Skills

R

90%

Statistics

100%

Photography

10%

Recent & Upcoming Talks

Accomplish­ments

Coursera
Neural Networks and Deep Learning
See certificate
Formulated informed blockchain models, hypotheses, and use cases.
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DataCamp
Object-Oriented Programming in R
See certificate

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