Jorge Valverde-rebaza is a computer scientist with a decade of experience applying machine learning, complex networks, and social network analysis to real-world problems from his base in São Paulo. He holds a Ph.D. in Computer Science and Computational Mathematics from Universidade de São Paulo, blending rigorous theory with applied AI research. Jorge focuses on how AI reshapes industries, education, and public policy, translating academic insight into practical systems and analyses. Colleagues know him for bridging deep mathematical foundations with network-aware ML solutions that surface sociotechnical patterns often missed by standard models. Despite a research-heavy background, he emphasizes actionable outcomes and policy relevance, helping stakeholders convert AI potential into measurable impact.
This is the repo containing code and other resources for the paper entitled "Exploiting Geographical Data to improve Recommender Systems for Business Opportunities in Urban Areas" and published at BRACIS 2019.
Contributions:21 pushes, 1 branch in 3 years 5 months
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Jorge Valverde-rebaza - Computer Scientist at visibilia