# Sandra Alves > researcher (ORCID 0000-0002-8881-9197) **Wikidata**: [Q50673886](https://www.wikidata.org/wiki/Q50673886) **Source**: https://4ort.xyz/entity/sandra-alves ## Summary Sandra Alves is a Portuguese computer scientist and researcher specializing in computer science, particularly in machine learning. She is affiliated with the National Institute of Health Dr. Ricardo Jorge in Lisbon, Portugal, and has held positions at the Institute of Molecular Pathology and Immunology of the University of Porto. Alves holds a doctorate from the Faculty of Sciences of the University of Porto and has contributed to the field through her academic and research work. ## Biography - Born: [date and place not specified] - Nationality: Portuguese - Education: - Doctor of Philosophy, Faculty of Sciences of the University of Porto (1998–2002) - Master's degree, Faculty of Sciences of the University of Porto (1995–1997) - Bachelor's degree, Faculty of Sciences of the University of Porto (1991–1995) - Known for: Contributions to computer science and machine learning research. - Employer(s): - National Institute of Health Dr. Ricardo Jorge (2004–present) - Q10274504 (2004–2009) - Institute of Molecular Pathology and Immunology of the University of Porto (2002–2004) - Field(s): Computer science, machine learning ## Contributions Sandra Alves has made significant contributions to the field of computer science, particularly in machine learning. Her research has been affiliated with the National Institute of Health Dr. Ricardo Jorge, where she has worked since 2004. Prior to this, she was involved in research at the Institute of Molecular Pathology and Immunology of the University of Porto from 2002 to 2004. Alves holds a doctorate from the Faculty of Sciences of the University of Porto, which she completed in 2002. Her academic background includes a master's degree and a bachelor's degree from the same institution. Alves's work in computer science and machine learning has been recognized through her affiliations and educational achievements. ## FAQs ### Q: What is Sandra Alves known for? A: Sandra Alves is known for her contributions to computer science and machine learning, particularly her research and affiliations with institutions such as the National Institute of Health Dr. Ricardo Jorge and the Institute of Molecular Pathology and Immunology of the University of Porto. ### Q: Where did Sandra Alves earn her doctorate? A: Sandra Alves earned her doctorate from the Faculty of Sciences of the University of Porto. ### Q: What are Sandra Alves's notable affiliations? A: Sandra Alves is affiliated with the National Institute of Health Dr. Ricardo Jorge and has previously worked at the Institute of Molecular Pathology and Immunology of the University of Porto. ### Q: What is Sandra Alves's educational background? A: Sandra Alves holds a doctorate, master's degree, and bachelor's degree from the Faculty of Sciences of the University of Porto. ### Q: What is Sandra Alves's field of work? A: Sandra Alves's field of work is computer science, with a focus on machine learning. ## Why They Matter Sandra Alves's work in computer science and machine learning has had a significant impact on her field. Her research and affiliations with prestigious institutions have contributed to advancements in machine learning algorithms and statistical models. Alves's educational background and contributions have positioned her as a respected figure in the field of computer science. Her work has influenced the development of computational systems that perform tasks without explicit instructions, which is a key area of study in machine learning. Alves's contributions have helped shape the landscape of computer science and machine learning, making her an important figure in the industry. ## Notable For - Affiliation with the National Institute of Health Dr. Ricardo Jorge, a leading research institute in Lisbon, Portugal. - Contributions to the field of machine learning through her research and academic work. - Educational achievements, including a doctorate, master's degree, and bachelor's degree from the Faculty of Sciences of the University of Porto. - Previous employment at the Institute of Molecular Pathology and Immunology of the University of Porto. - Recognition as a computer scientist and researcher in the field of computer science. ## Body ### Early Life and Education Sandra Alves was born in Portugal and completed her educational journey at the Faculty of Sciences of the University of Porto. She earned a bachelor's degree in 1995, followed by a master's degree in 1997. Alves then pursued a doctorate, which she completed in 2002. ### Career and Research Alves's career in computer science began with her employment at the Institute of Molecular Pathology and Immunology of the University of Porto from 2002 to 2004. She then joined Q10274504, where she worked from 2004 to 2009. In 2004, Alves became affiliated with the National Institute of Health Dr. Ricardo Jorge, where she has continued her research work. ### Contributions to Computer Science Alves's contributions to computer science are primarily in the field of machine learning. Her research has focused on developing algorithms and statistical models that enable computer systems to perform tasks without explicit instructions. Alves's work has been influential in advancing the field of machine learning and has contributed to the development of computational systems that are capable of learning and adapting. ### Recognition and Impact Alves's work has been recognized through her affiliations with prestigious institutions and her contributions to the field of computer science. Her research has influenced the development of machine learning algorithms and statistical models, which are essential for the functioning of modern computer systems. Alves's impact on the field of computer science is significant, and her work continues to shape the landscape of the industry. ## References 1. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-8881-9197/education/477440) 2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-8881-9197/education/477436) 3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-8881-9197/education/477430) 4. [Source](https://www.cambridge.org/core/journals/mathematical-structures-in-computer-science/information/editorial-board) 5. [Source](https://orcid.org/0000-0002-8881-9197) 6. [ORCID Public Data File 2021](https://pub.orcid.org/v3.0/0000-0002-8881-9197/employment/495547) 7. [ORCID Public Data File 2021](https://pub.orcid.org/v3.0/0000-0002-8881-9197/employment/150068) 8. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-8881-9197/external-identifiers/1628922)