Juan Griffe is a computer scientist and Assistant Professor specializing in realistic image synthesis, graphics-driven vision and machine learning, with nine years of experience bridging academic research and software engineering. Currently a PhD candidate and former Marie Skłodowska-Curie fellow at the Graphics and Imaging Lab, his work focuses on predictive and physically based rendering of structured and multiscale materials, with publications on biologically inspired appearance models and procedural multiscale geometry. He has combined deep technical research (Mitsuba, PBRT, OptiX, PyTorch) with practical backend development experience in .NET and Java, enabling both prototype systems and production-ready services. His research secondments at DTU produced collaborative advances in microstructure modeling and scattering models validated against measurements, underscoring an emphasis on realism and empirical validation. Based in Zaragoza, he brings a multicultural perspective from Venezuela to Europe and enjoys outdoor sports, reflecting a pragmatic, hands-on approach to complex visual computing problems.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Universidad de Zaragoza
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Universidad Central de Venezuela
High School Science, High School Science at U.E Escuela Comunitaria
Master's degree Informatics: Computer Graphics and Vision, Master's degree Informatics: Computer Graphics and Vision at Technical University of Munich
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Juan Griffe - Assistant Professor at Universidad de Zaragoza