About Me

Data scientist and PhD researcher applying machine learning to real-world time series and behavioral data. Experienced in uncovering actionable insights from large, complex datasets and deploying interpretable models for forecasting, anomaly detection, and pattern mining. Passionate about translating data into impact at scale.

I am supervised by Professor Sara Madeira from FCUL and Professor Rui Henriques from IST.

Links: ⚭ ⚭ ⚭

Research Interests

• Time Series
• Data Mining
• Machine Learning
• Recommender Systems

Teaching

2023/2024

Outsystems Training Program, Faculty of Sciences (FCUL), University of Lisbon

2022/2023

Data and Information Systems Management Course, Instituto Superior Técnico (IST), University of Lisbon

2021/2022

Databases Course, Instituto Superior Técnico (IST), University of Lisbon

Information Processing and Retrieval Course, Instituto Superior Técnico (IST), University of Lisbon

Publications

1. G. Silva, M., C. Madeira, S., & Henriques, R. (2025). Cutting through the noise: Explaining residuals in multivariate time series with motif analysis. Pattern Recognition.

2. G. Silva, M., C. Madeira, S., & Henriques, R. (2024). A Comprehensive Survey on Biclustering-based Collaborative Filtering. ACM Computing Surveys.

3. G. Silva, M., Madeira, S. C., & Henriques, R. (2023). Actionable descriptors of spatiotemporal urban dynamics from large-scale mobile data: A case study in Lisbon city. Environment and Planning B: Urban Analytics and City Science.

4. G. Silva, M., Madeira, S. C., & Henriques, R. (2022). Water consumption pattern analysis using biclustering: When, why and how. Water, 14(12), 1954.

5. G. Silva, M. (2020). User-Specific Bicluster-based Collaborative Filtering (Master’s dissertation).

Contact

You can contact me at: miguelgarcaosilva [at] gmail.com

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