Daniel Kansaon
Researcher Phd Candidate
Minas Gerais, Brazil
Summary
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Senior🎓
Top SchoolDaniel Kansaon is a PhD candidate and researcher in Computer Science at UFMG with nine years of experience applying NLP, machine learning, and data mining to social computing problems such as misinformation, hate speech, and sentiment analysis. He holds a Master's focused on Portuguese comparative opinion mining and has contributed to applied projects for the Minas Gerais Public Prosecutor’s Office and research stays at Max Planck, Sheffield, and GESIS, reflecting a blend of academic rigor and practical impact. Daniel also teaches software engineering topics and has industry roots in .NET web and workflow systems, giving him full-stack development empathy alongside research skills. His work emphasizes interpretable text classification and network-aware analyses, bridging methodological advances with real-world deployment in Portuguese-language contexts.
9 years of coding experience
5 years of employment as a software developer
Técnico, Informática, Técnico, Informática at SENAI São Caetano do Sul – Cyber e IAPós-graduação Lato Sensu, Arquitetura de Software Distribuído, Pós-graduação Lato Sensu, Arquitetura de Software Distribuído at PUC MinasDoutorado, Ciência da Computação, Doutorado, Ciência da Computação at Universidade Federal de Minas GeraisProgramming languages (2)
Github contributions (5)
Contributions:19 commits, 18 pushes, 1 branch in 2 months
danielkansaon/research-website
Feb 2022 - Sep 2024
Contributions:7 pushes, 1 branch in 2 years 7 months
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