José Pedro Correia

  • computer science
  • software measurement
  • data engineering
  • data science
  • game theory

José Pedro Correia is a freelance software developer in the healthcare industry. He has a degree in Computer Science and Software Engineering from the University of Minho, an MSc in Logic from the University of Amsterdam, and a PhD in Philosophy from the University of Porto. In his academic experience, he has worked in formal methods (computer science), software measurement, and game theory applied to natural language semantics. He has industry experience as a researcher in software measurement, applying statistics, machine learning, and data warehousing to the analysis and development of metrics for automatically estimating source code quality. He has also worked as a software quality engineer, developing automated quality control infrastructure for software projects. Additionally, he was employed as a data scientist in the financial industry, where he was involved in data collection, processing, and analysis for a neobank. He worked as Data Scientist and Head of IT at P5 Digital Medical Center, where he was responsible for planning and implementing the software infrastructure for the collection and processing of data stemming from P5’s clinical practice. He was also involved in research and development projects involving data analysis and machine learning. He continues to provide support to P5 in these areas, currently as an external consultant.

José Pedro Correia

  • computer science
  • software measurement
  • data engineering
  • data science
  • game theory

José Pedro Correia is a freelance software developer in the healthcare industry. He has a degree in Computer Science and Software Engineering from the University of Minho, an MSc in Logic from the University of Amsterdam, and a PhD in Philosophy from the University of Porto. In his academic experience, he has worked in formal methods (computer science), software measurement, and game theory applied to natural language semantics. He has industry experience as a researcher in software measurement, applying statistics, machine learning, and data warehousing to the analysis and development of metrics for automatically estimating source code quality. He has also worked as a software quality engineer, developing automated quality control infrastructure for software projects. Additionally, he was employed as a data scientist in the financial industry, where he was involved in data collection, processing, and analysis for a neobank. He worked as Data Scientist and Head of IT at P5 Digital Medical Center, where he was responsible for planning and implementing the software infrastructure for the collection and processing of data stemming from P5’s clinical practice. He was also involved in research and development projects involving data analysis and machine learning. He continues to provide support to P5 in these areas, currently as an external consultant.

Scientific Highlights

1. Baggen R, Correia JP, Schill K, Joost Visser (2011) Standardized Code Quality Benchmarking for Improving Software Maintainability. Software Quality Journal 20.2 (2011): 287–307. doi: 10.1007/s11219-011-9144-9
2. Bouwers E, Correia JP, van Deursen A, Joost Visser (2011) Quantifying the Analyzability of Software Architectures. 2011 Ninth Working IEEE/IFIP Conference on Software Architecture. IEEE, 2011. doi: 10.1109/wicsa.2011.20.
3. Alves TL, Correia JP, Joost Visser (2011) Benchmark-Based Aggregation of Metrics to Ratings. 2011 Joint Conference of the 21st International Workshop on Software Measurement and the 6th International Conference on Software Process and Product Measurement. IEEE, 2011. doi: 10.1109/iwsm-mensura.2011.15.
4. Franke M, Correia JP (2018) Vagueness and Imprecise Imitation in Signalling Games. The British Journal for the Philosophy of Science 69 (4): 1037–67. doi: 10.1093/bjps/axx002.
5. Correia JP, Franke M (2019) Towards an Ecology of Vagueness.” In Vagueness and Rationality in Language Use and Cognition, edited by Richard Dietz, 87–113. Language, Cognition, and Mind. Cham: Springer. doi: 10.1007/978-3-030-15931-3_6.
6. Correia JP, Ocelák R (2019) Towards More Realistic Modeling of Linguistic Color Categorization. Open Philosophy 2 (1): 160–189. doi: 10.1515/opphil-2019-0013.”

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Projects

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Projects

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MINHO Ageing Data Lake: From data to evidence generation

In our Digital Era, it is crucial the establishment of innovative strategies that work to bolster health promotion, studies and/or programs designed to reduce the loss of independence in the older years, and the full utilization of already existing data…

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