Djellel Difallah
Moore Sloan Data Science Fellow


Center for Data Science
NYU

Bio

Djellel Eddine Difallah received his Ph.D. from the University of Fribourg (Switzerland) and worked thereafter as a Postdoctoral Researcher at the eXascale Infolab. His main research interests revolve around human computation and its application to data management, data processing, machine learning, natural language processing and knowledge extraction. Specifically, he investigates novel active learning techniques, Bayesian models for truth inference and task scheduling optimization problems. Djellel worked for Schlumberger and Microsoft and is an ACM member and a Fulbright Alumni. He is currently a Moore-Sloan Fellow at the Center for Data Science at New York University.

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Research Interests

My main research interests revolve around human computation and its application to data management, data processing, machine learning, natural language processing and knowledge extraction. Specifically, I investigate novel human machine learning techniques, Bayesian models for truth inference, task scheduling optimization problems and analysis of crowdsourcing marketplaces.

More details can be found on my research statement for more information: Research Statement

Past projects

Recent Professional Activities

Awards

Teaching

  • Big Data Infrastructures (University of Fribourg - Fall 2016) - Lecturer
  • Data Science Seminar (University of Fribourg - Fall 2015) - Lecturer
  • Social computing (University of Fribourg - 2011/2014) - Teaching Assistant
  • My teaching statement is available
    here

    Contact Information