Lorena Etcheverry, Ph.D.

About

I am an Associate Professor at the Computer Science Department (Instituto de Computación, InCo) of the Universidad de la República, Uruguay. I specialize in data management, data quality, non-relational databases, and ethics in data science. I coordinate the GEMA group (Data Management and Modeling) and the Master's in Data Science and Machine Learning (MCDAA).

Education:

• Ph.D. in Computer Science, Universidad de la República
• M.Sc. in Computer Science, Universidad de la República
• B.Sc. in Computer Engineering, Universidad de la República

Awards:

• 2023 - Basic Sciences Award "Dr. Roberto Caldeyro Barcia" for contributions in Informatics

Research

My research interests include data management, data quality, ethics in data science, and privacy in learning analytics. Recent projects:

• Artificial Intelligence for Processing and Understanding Documentary Archives (2023-2024)
• Elevating Data Quality Management for Effective Big Data Analytics (2023-2025)
• FLEA: Federated Learning for Education Analytics (2022-2023)

Future research directions include exploring knowledge graphs, data privacy, and bias detection in AI systems.

Publications

Selected publications:

• "Federated Learning for Data Analytics in Education" - Data, 2023
• "Encouraging Girls Involvement in ICT Careers" - CLEI Electronic Journal, 2020
• "Overcoming Data Scarcity in Earth Science" - Data, 2020
• "Data Profiling in Property Graph Databases" - ACM Journal of Data and Information Quality, 2020
• "Managing Devices of a One-to-One Computing Educational Program Using an IoT Infrastructure" - Sensors, 2019

For a full list, visit Google Scholar.

Teaching

I have extensive teaching experience in undergraduate and graduate programs, including:

• Database Fundamentals (2002-2023)
• Non-Relational Databases (2017-2023)
• Introduction to Data Science (2020-2023)

I also supervise undergraduate and graduate theses in various areas of data science and data management.

Service

Contributions to the academic community include:

• Organization: SIGMOD 2024 (financial chair), ISWC 2024 (Posters and Demos co-chair), The Web Conference 2023 (Poster and Demos co-chair), ISWC 2021 (Industry Track co-chair), AMW 2016 and 2017 (School co-chair)
• Program Committee Member: ISWC Research track (2019-2024), Journal of Web Semantics, JDIQ (2016), DOLAP (2022-2025), ADBIS (2023-2024), ESWC (2012-2016)
• Editorial Board Member: Transactions on Graph Data and Knowledge (TGDK)
• Member: Advisory Committee of the Latin American Index of Artificial Intelligence ILIA

Contact

Email: lorenae@fing.edu.uy

Location: J. Herrera y Reissig 565, Montevideo, Uruguay

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