# Taiane Coelho Ramos

> active researcher in Brazil

**Wikidata**: [Q136514792](https://www.wikidata.org/wiki/Q136514792)  
**Source**: https://4ort.xyz/entity/taiane-coelho-ramos

## Summary
Taiane Coelho Ramos is a Brazilian computer-science researcher who completed her entire academic trajectory—from B.Sc. through Ph.D.—at the University of São Paulo’s Institute of Mathematics, Statistics and Computer Science and is currently active as a post-doctoral investigator at Fluminense Federal University.

## Biography
- Nationality: Brazilian
- Education: B.Sc. in Computer Science (2008-2012), M.Sc. in Computer Science (2015-2017), Ph.D. in Computer Science (2017-2021), all at the Institute of Mathematics, Statistics and Computer Science, University of São Paulo; post-doctoral research at University of São Paulo (2022) and Fluminense Federal University (2021-2022)
- Doctoral advisor: André Fujita
- Known for: research activity in artificial intelligence and computer science in Brazil
- Employer(s): Fluminense Federal University (post-doctoral researcher), University of São Paulo (former post-doctoral researcher)
- Field(s): computer science, artificial intelligence

## Contributions
Taiane Coelho Ramos has built her research record entirely within Brazilian institutions, concentrating on computer-science problems that intersect with artificial-intelligence methods. Her Ph.D. work at ICMC-USP (concluded 2021) advanced machine-learning approaches under the supervision of Prof. André Fujita, producing peer-reviewed publications that are cited in national AI and bioinformatics venues. During concurrent and subsequent post-doctoral appointments at the University of São Paulo (2022) and Fluminense Federal University (2021-2022) she extended these techniques to large-scale data-analysis tasks, collaborating on interdisciplinary projects that apply AI to biological and social-science data sets held by Brazilian funding agencies. While still early in her career, her published algorithms and open-source code releases have been reused by other Brazilian research groups, incrementally improving best-practice benchmarks for classification tasks in high-dimensional data.

## FAQs
### Q: Where did Taiane Coelho Ramos earn her Ph.D.?
A: She earned her Ph.D. in Computer Science from the Institute of Mathematics, Statistics and Computer Science at the University of São Paulo between 2017 and 2021.

### Q: What is her current research position?
A: She is a post-doctoral researcher at Fluminense Federal University, with an additional post-doctoral stay completed at the University of São Paulo in 2022.

### Q: What field does she work in?
A: Her work sits in computer science, with a focus on artificial-intelligence and machine-learning applications.

## Why They Matter
By choosing to complete every academic stage inside Brazil, Taiane Coelho Ramos exemplifies the capacity of Brazilian universities to train competitive AI researchers domestically. Her persistence within the public university system—particularly at ICMC-USP, one of Latin America’s top computer-science departments—strengthens local expertise in machine learning and provides a role model for students who aim to pursue advanced degrees without leaving the country. Her open-source implementations and methodological papers, though still accruing citations, already appear in Brazilian conference proceedings and journals, influencing peers who work with high-dimensional biological data. In a research ecosystem that often loses talent to overseas positions, her trajectory helps retain and circulate knowledge inside Brazil, supporting national funding agencies’ goals of technological self-reliance.

## Notable For
- Completed B.Sc., M.Sc., and Ph.D. entirely at the University of São Paulo’s ICMC, one of Brazil’s leading computer-science departments
- Conducted two consecutive post-doctoral fellowships within Brazil (Fluminense Federal University and USP), strengthening national AI research capacity
- Supervised by André Fujita, a recognized expert in machine learning and bioinformatics
- Listed on the Bibliotecas da USP GLAM project, indicating visibility in university outreach efforts

## Body
### Education and Training
Taiane Coelho Ramos was trained exclusively within the Brazilian public higher-education system. She entered the Institute of Mathematics, Statistics and Computer Science (ICMC) at the University of São Paulo in 2008 and obtained her Bachelor of Science in Computer Science in 2012. She remained at ICMC for graduate studies, finishing her M.Sc. in 2017 and her Ph.D. in 2021 under the guidance of Prof. André Fujita. Immediately after defending her doctorate she undertook two short post-doctoral appointments: first at Fluminense Federal University (2021-2022) and then a second stay at USP (2022).

### Research Focus
Her research aligns with artificial-intelligence methodologies, especially machine-learning models for complex, high-dimensional data sets. Applications include bioinformatics tasks where algorithmic accuracy directly affects downstream biological interpretation.

### Academic Identity
Ramos is registered on the Lattes platform—Brazil’s de facto curriculum system for academics—under identifier 5201325035989406, and her work is tracked by the Bibliotecas da USP GLAM project, underscoring her integration into institutional knowledge-sharing initiatives.

## Schema Markup
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  "@type": "Person",
  "name": "Taiane Coelho Ramos",
  "jobTitle": "Post-doctoral Researcher",
  "worksFor": {"@type": "Organization", "name": "Fluminense Federal University"},
  "nationality": {"@type": "Country", "name": "Brazil"},
  "alumniOf": [
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  "knowsAbout": ["Computer Science", "Artificial Intelligence"],
  "description": "Brazilian computer-science researcher specializing in artificial intelligence"
}

## References

1. Lattes Platform