Professor Leopoldo Bertossi






  • As of Sept. 2019, Emeritus Professor at Carleton University, School of Computer Science, Ottawa, Canada.
  • Since 2019: Universidad Adolfo Ibanez (UAI), Faculty of Engineering and Science, Santiago, Chile.
        Senior UAI Fellow and Full Professor.   Director of MSc and PhD Programs in Data Science.
  • Senior Researcher at the "Millennium Institute for Foundational Research on Data" (IMFD Chile). Since 2018.
  • Principal Researcher and Board Member at the "National Basal Center for AI Research" (CENIA, Chile).


    • Contact: bertossi@scs.carleton.ca


    • Until Sept. 2019, Full Professor, Carleton University, Ottawa, Canada.
    • Senior Computer Scientist at RelationalAI Inc. (Berkeley, CA, USA) Until 2020.
    • Member of Academic Network of RelationalAI Inc. Until 2021.
    • First Fellow of the Alberto Mendelzon WS on Foundations of Data Management (AMW), 2017.
    • Special Recognition of the Brazilean Computer Science Society, 2017.
    • Honor WS at AMW'17.
    • Doctor Honoris Causa. Universidad Privada Antenor Orrego. Peru, Nov. 2015.
    • (First) Honorary Member of the Chilean Computer Science Society (SCCC).
    • Former Faculty Fellow, IBM Center for Advanced Studies, Toronto Lab.
    • Former member of the ACM Distinguished Speakers Program.

    Areas of Research and Interest:


    • Data Science
    • Explainable AI and Machine Learning
    • Uncertainty in Data and Knowledge for AI
    • Causality in Data, Knowledge and AI
    • Data Management and Databases
    • Data Management for Business Intelligence
    • Data Quality
    • Data Integration
    • Data Warehouses and Multidimensional Databases
    • Intelligent Information Systems
    • Statistical Relational Learning and Probabilistic Graphical Models
    • Logico-Probabilistic Knowledge Representation
    • Semantic Web, Ontologies, Data on the Web
    • Logic Programming and Computational Logic
    • Logic in Computer Science
    • Computational Complexity
    • Foundations of Probability and Statistical Methods