Researchers

Dr Alexandre Paschoal

Group Leader (Investigator)
Alexandre Paschoal
About

Dr. Alexandre Paschoal is a Group Leader in Artificial Intelligence and Informatics at the Rosalind Franklin Institute and concurrently serves as an Associate Professor at the Federal University of Technology – Parana (UTFPR), Brazil. Having earned his Ph.D. in Bioinformatics from the University of São Paulo in 2012 in Brazil, Dr. Paschoal exemplifies a commitment to interdisciplinary research.

Dr. Paschoal is broadly trained in computer science, with the primary research focus lying in building cut-edge AI techniques to translate biological data into actionable knowledge utilizing principles from the field of bioinformatics. His vision involves contributions to link fields between data science and life/biological sciences to extract insights to guide decision-making. This will enhance our understanding of biological systems through ambitious AI approaches and advanced data analysis methods. Other areas of interest include data mining and pattern recognition. As Group Leader, he aims to utilize his bioinformatics expertise to develop innovative methods for precise prediction and addressing diverse biological challenges. This effort aligns seamlessly with the Rosalind Franklin Institute’s mission.

Dr. Paschoal’s contributions include collaborations with other stakeholders like industry, government, and NGOs. His portfolio of academic articles is accessible on Google Scholar. This body of work attests to his dedication to advancing scientific knowledge and pushing the boundaries of interdisciplinary research.

Projects and Platforms
Publications

A INFLUÊNCIA DA INTELIGÊNCIA ARTIFICIAL NA EDUCAÇÃO: OPORTUNIDADES E DESAFIOS

Revista Multidisciplinar Do Nordeste Mineiro

28 Nov 2025, Journal Article

DOI: 10.61164/sw01mt09

Long-read RNA sequencing can probe organelle genome pervasive transcription

Briefings In Functional Genomics

6 Dec 2024, Journal Article

DOI: 10.1093/bfgp/elae026

Challenges in LncRNA Biology: Views and Opinions

Non Coding RNA

1 Aug 2024, Journal Article

DOI: 10.3390/ncrna10040043