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JACOB Pierre

Department : Information Systems, Decision Sciences and Statistics
Professor
Campus de Cergy

Contact

Biography

Pierre E Jacob is a Full Professor at ESSEC Business School, in the Information Systems, Decision Sciences and Statistics (IDS) Department. His interests include time series and prediction, Monte Carlo methods, Markov chains, Bayesian statistics, and probabilistic modelling. 

Diplomas

  • 2012 : Doctorate, Other, Mathematics (Université Paris Dauphine, France)
  • 2009 : Diplôme de statisticien economiste (L'École nationale de la statistique et de l'administration économique (ENSAE), France)

Career

    Full-time academic appointments

    • 2021 - Present : Professor (ESSEC Business School, France)
    • 2019 - 2021 : Associate Professor (Harvard University, United States of America)
    • 2015 - 2019 : Assistant Professor (Harvard University, United States of America)
    • 2013 - 2015 : Post-Doctorate (University of Oxford, United Kingdom)
    • 2012 - 2013 : Post-Doctorate (National University of Singapore, Singapore)

Grants

  • 2019 - 2022 : DMS 1844695 (CAREER) (National Science Foundation, United States of America)
  • 2019 : Dean’s Competitive Fund for Promising Scholarship (Harvard University, United States of America)
  • 2017 - 2020 : DMS 1712872 (National Science Foundation, United States of America)
  • 2016 : Milton Fund (Harvard University, United States of America)

Awards

  • 2021 : Royal Statistical Society Guy Medal in Bronze (United Kingdom)
  • 2018 : David Pickard Award for Teaching and Mentoring (Harvard University, United States of America)
  • 2013 : Prix de thèse de la Fondation Dauphine
  • 2012 : Prix de thèse Jacques Neveu

Journal articles

Conference Proceedings

Teaching

  • 2022 - Present : Business Statistics & Introduction to Analytics (Grande Ecole - Master in Management ESSEC Business School France)
  • 2022 - Present : Forecasting & Predictive Analytics (Grande Ecole - Master in Management ESSEC Business School France)
  • 2021 - Present : (Master in Data science and Business analytics ESSEC Business School France)
  • 2021 STAT248 Couplings & Monte Carlo ( Harvard University United States of America)
  • 2016 - 2018 : STAT131 Time Series & Prediction ( Harvard University United States of America)
  • 2015 - 2019 : STAT213 Statistical Inference II ( Harvard University United States of America)
  • 2013 - 2015 : Advanced Simulation ( University of Oxford United Kingdom)

Theses

  • 2021 : O'LEARY J. (Harvard University), Thesis director
  • 2021 : JU N. (Harvard University), Thesis director
  • 2019 : SHAO S. (Harvard University), Thesis director
  • 2019 : BERNTON E. (Harvard University), Thesis director