Prof. Leopoldo BertossiUniversidad Adolfo IbanezFaculty of Engineering and Sciences

Brief CV1

Research Areas:

� Explainable AI and MachineLearning

� Causality and Fairness in DataScience

� Data Science and DataManagement

� Statistical Relational Learning� Probabilistic Graphical Models

� Knowledge Representation inAI

� Ontologies and KnowledgeGraphs

� Business Intelligence� Data Integration and Quality� Logic Programming andComputational Logic

� Foundations of Probability andStatistical Methods

Current Affiliations:

� Universidad Adolfo Ibanez (UAI), Santiago, Chile. Senior UAI Fellowand Full Professor, Faculty of Engineering and Sciences. Since 2019.

� Director of PhD and MSc Programs in Data Science, UAI.� Emeritus Professor, Carleton University, Ottawa, Canada. Since 2019.� Senior Researcher “Millennium Institute for Foundational Research onData” (IMFD, Chile). Since 2018.

What I Can Offer:

� Active researcher, with strong publication record� Well established and known in the research community� Broad knowledge of Science, Mathematics and Computer Science� Mentoring skills and experience with students and young researchers� Large network of researchers around the world� Managerial and organizational experience and skills� Experience with research proposal formulation� Excellent writing, presentation, and teaching skills� Broad culture and intellectual interests in large number of fields� Interpersonal and leadership skills; and strong motivation

1 Download full CV from: www.scs.carleton.ca/∼bertossi/cv21.pdfEmail: bertossi@scs.carleton.ca Web Page: www.scs.carleton.ca/∼bertossi

Education:

� PhD in Mathematics, Pontifical Catholic University of Chile (PUC),1988.

� Masters in Math., PUC, 1982.� Bachelor in Math., PUC, 1976.

Some Recent Publications:

� M. Arenas, P. Barcelo, L. Bertossi and M. Monet. “The Tractability ofSHAP-scores over Deterministic and Decomposable Boolean Circuits”.Proc. AAAI 2021.

� L. Bertossi. “Declarative Approaches to Counterfactual Explanationsfor Classification”. To appear in Theory and Practice of Logic Pro-gramming. Corr arXiv Paper 2011.07423, 2021.

� L. Bertossi. “Specifying and Computing Causes for Query Answers inDatabases via Database Repairs and Repair Programs”. Knowledgeand Information Systems, 2021, 63(1):199-231.

� E. Livshits, L. Bertossi, B. Kimelfeld and M. Sebag. “Query Games inDatabases”. ACM Sigmod Record, 2021, 50(1):78-85.

� L. Bertossi and F. Geerts. “Data Quality and Explainable AI”. Journalof Data and Information Quality, 2020, 12(2):1-9.

� L. Bertossi. “Database Repairs and Consistent Query Answering:Origins and Further Developments” (gems of Pods paper). Proc. ACMSymp. on Principles of Database Systems (PODS), 2019, pp. 48-58.

� L. Bertossi and B. Salimi. “From Causes for Database Queries toRepairs and Model-Based Diagnosis and Back”. Theory ofComputing Systems, 2017, 61(1):191-232.

� L. Bertossi and B. Salimi. “Causes for Query Answers from Databases:Datalog Abduction, View-Updates, and Integrity Constraints”.International Journal of Approximate Reasoning, 2017, 90:226-252.

� Z. Bahmani, L. Bertossi and N. Vasiloglou. “ERBlox: CombiningMatching Dependencies with Machine Learning for Entity Resolution”.Int. Journal of Approximate Reasoning, 2017, 83:118-141.

Some Career Highlights:

� RelationalAI Inc. (Berkeley, CA). Senior Computer Scientist. 2018-2020. Currently Member of RelationalAI’s Academic Network.

� Full Professor of Computer Science, Carleton University, Ottawa,Canada. 2001-2019.

� Associate Professor, PUC, School of Engineering, Department ofComputer Science. 1992-2001.

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� Honors: (a) First Honorary Member of the Chilean Computer ScienceSociety (SCCC), 2003. (b) First Fellow of the Alberto MendelzonWS on Foundations of Data Management (AMW), 2017. (c) SpecialRecognition of the Brazilean Computer Science Society, 2017. (d)Doctor Honoris Causa, Univ. Privada Antenor Orrego, Peru, 2015.

� Theme Leader for “Adaptive Data Quality” (one of four themes).NSERC Strategic Network on Data Management for BusinessIntelligence (BIN), Canada, 2008-2012.

� Faculty Fellow of the IBM Center for Advanced Studies (Toronto Lab)� Member of the ACM Distinguished Speakers Program� Professor Faculty of Mathematics, PUC; 1983-2002� Visiting assistant professor Univ. of Toronto, Dept. Computer Science;1989-90

� Visiting assistant professor Univ. of Wisconsin, Milwaukee, Dept.Computer Science; 1990-91

� Visiting professor and researcher: Marseille-Luminy (1997). Tech.Univ. Berlin (1997/98); Free Univ. Bolzano-Bozen (1995); Univ.Calabria (2014); Tech. Univ. of Vienna (2006 and 2017, as a PauliFellow of the “Wolfgang Pauli Institute (WPI) Vienna”); LogicBloxInc. (Atlanta, 2014)

� DAAD Scholarships: Univ. Freiburg, 1978-80, 1985; Tech. Univ.Berlin, 1997

� Full-time Statistical Consultant, National Computing Company(ECOM, Chile), 1975

Organizational and Managerial Positions:

� Director of Graduate Program in Data Science (PhD and MSc).Universidad Adolfo Ibanez, Faculty of Engineering and Sciences. Santigo,Chile. Since January, 2020.

� Chief Talent Officer. Data Observatory Foundation. Santiago, Chile.Since May 2020.

� Theme Leader. NSERC Strategic Network on Data Management forBusiness Intelligence (BIN), Canada, 2008-2012.

� Acting Associate Director. School of Computer Science. CarletonUniversity. August 2004-July 2005.

� Chair of the “NSERC Accelerate” Grant Committee, Computer Scienceand Engineering, 2009.

� Member of the NSERC Computing and Information Sciences GrantSelection Committee (GSC 330). 2003-2005.

� Departmental Chair. Department of Computer Science,School of En-gineering, Pontifical Catholic University of Chile (PUC, Chile). 1994-1996.

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� Member ACM SIGMOD Latin America Liaison Committee. 2000-2003.� President of the Chilean Computer Science Society (SCCC). Nov. 1995- Oct. 1996 and Nov. 1998-Oct. 2000.

� Secretary of the Chilean Computer Science Society (SCCC). Nov. 1992-Oct. 1995.

� Coordinator of the Chilean-German Collaboration Program onInformation Technology. Appointed by the Chilean Government. 1998-2001.

� Director of the “DIPUC Program for Information Science and DataAnalysis”, PUC, Chile. June 2000-Aug. 2001.

Participation in Major Research Proposals:

� “NSERC Strategic Network on Data Management for BusinessIntelligence” (BIN), 2009-22013. Funding at Ca$1.5MM per year fromNSERC and industry. I was one of the initial four Theme Leaders, incharge of “Adaptive Data Quality”. Contributed to project formula-tion, and organization.

� “Millenium Institute on Foundations of Data Research” (IMFD), 2018-2027. Funding at US$1.5MM per year from the Chilean Ministry ofScience and Technology. Actively participated in project formulation,and its development as Senior Researcher.

� “National Research Center for Artificial Intelligence” (NAIR), 2022-2031. Funded as “Basal Scientific and Technological Center ofExcellence” at US$2.5MM per year, for five years, renewable, by theChilean Ministry of Science and Technology. Actively participated inproject formulation as Principal Investigator and Leader of the fiveresearch lines, on “Neuro-Symbolic AI”. Selected at the top of sixproposals recommended for funding among more than 25 submitted.

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