Pierre JACOB

Professor
department: Information Systems, Decision Sciences and Statistics
Campus de Cergy
Statistical Data Analysis – Probability Theory & Mathematical Statistics
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, PSL 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 – Now : 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)

Awards

  • 2022 : Susie Bayarri Lecture
  • 2022 : Committee of Presidents of Statistical Societies Leadership Academy Award (United States of America)
  • 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

Grants

  • 2019 : 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 : DMS 1712872 (National Science Foundation, United States of America)
  • 2016 : Milton Fund (Harvard University, United States of America)

Journal articles

Conference Proceedings

Presentations at an Academic or Professional conference

Information Systems, Decision Sciences and Statistics

  • 2022 – Now : Forecasting & Predictive Analytics (ESSEC Business School France)
  • 2022 – Now : Business Statistics & Introduction to Analytics (ESSEC Business School France)
  • 2021 – Now : Forecasting and predictive analytics (ESSEC Business School France)
  • 2021 – 2021 : STAT248 Couplings & Monte Carlo (Harvard University United States of America)
  • 2015 – 2019 : STAT213 Statistical Inference II (Harvard University United States of America)
  • 2016 – 2018 : STAT131 Time Series & Prediction (Harvard University United States of America)
  • 2013 – 2015 : Advanced Simulation (University of Oxford United Kingdom)
Professional activities
  • Member of a professional association, of an expert group or of a board of directors
    • 2022 – Now: Research Section Committee of the Royal Statistical Society ( United Kingdom)
Theses
  • 2019 : BERNTON E. (Harvard University), Thesis director, Optimal Transport in Statistical Inference and Computation
  • 2021 : JU N. (Harvard University), Thesis director, Statistical Methods in Infectious Disease Modeling: Agent-based Models, Computations, and Selection Biases
  • 2021 : O’LEARY J. (Harvard University), Thesis director, Coupling and Parallelization in Statistical Inference
  • 2019 : SHAO S. (Harvard University), Thesis director, Bayesian model comparison and asymptotics for state-space models