Dan Casas is a Senior Applied Scientist at Amazon, specializing in Machine Learning, Computer Vision, Generative AI, and LLM. With a degree in Computer Science Engineering from Universitat Autònoma de Barcelona and a PhD in Computer Graphics from the University of Surrey, Dan has over 15 years of experience in Computer Graphics, Computer Vision, and Machine Learning. Currently, Dan is on leave from the Universidad Rey Juan Carlos University in Madrid, where they contributed to research on virtual humans. As the Principal Investigator of the European project CrowdDNA and various national projects, Dan has managed a budget exceeding €1,300,000, publishing over 35 high-impact international papers and holding three patents in virtual fashion. Additionally, Dan has served in leadership roles at notable conferences and has received several prestigious scholarships and accreditations.
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