Summary
Danilo Eler is an Assistant Professor of Computer Science at São Paulo State University (Unesp) with a Ph.D. and postdoctoral training from the University of São Paulo and over eight years of academic experience. His research bridges data science, information visualization, visual analytics, and explainable AI, with strong interests in visual data mining, linked views, and computer vision. Danilo combines rigorous academic research with practical application, designing visual analytics approaches that make complex machine learning and vision models more interpretable and actionable. Based in São Paulo, he has a track record of mentoring students and driving interdisciplinary projects that connect visualization techniques to real-world data problems. An understated strength is his sustained focus on linking theory and tool-building, enabling both novel insights and usable systems for researchers and practitioners.
8 years of coding experience
University of São Paulo
Bacharelado, Computer Science, Bacharelado, Computer Science at Universidade do Oeste Paulista