Summary
Dan Casas is a Senior Applied Scientist at Amazon and an on-leave Associate Professor whose 15+ year career blends computer graphics, computer vision, and machine learning to create photorealistic 3D humans and virtual fashion. He holds a PhD in Computer Graphics (Surrey) and a Computer Science Engineering degree from Universitat Autònoma de Barcelona, with postdoctoral stints at USC and the Max Planck Institute and a Marie Curie Fellowship. As Principal Investigator of the H2020 CrowdDNA project and recipient of a FBBVA Leonardo Scholarship, he leads multidisciplinary research programs totaling over €1.3M and holds three patents commercialized via SEDDI Inc. His publications at SIGGRAPH, CVPR and NeurIPS and 4,500+ citations reflect impact in both academia and industry, and he routinely chairs major conferences and delivers invited keynotes. Based in Los Angeles, he now focuses on generative AI, large models, and production-ready pipelines that bridge cutting-edge research with real-world virtual human products.
11 years of coding experience
Computer Science Engineering (B.Sc + M.Eng.), Computer Science, Computer Science Engineering (B.Sc + M.Eng.), Computer Science at Universitat Autònoma de Barcelona
Erasmus exchange student, Computer Science, Erasmus exchange student, Computer Science at Tampere University of Technology
Doctor of Philosophy (PhD), Computer Graphics, Doctor of Philosophy (PhD), Computer Graphics at University of Surrey
Research Scholar, Computer Vision, Research Scholar, Computer Vision at Carnegie Mellon University
English, Catalan, Spanish