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Pedro Quesado is a Doctoral Candidate in the Video Coding and Architectures group of Eindhoven University of Technology (黑料福利网), focusing in the field of Computer Vision and Deep Neural Networks for dynamic 3D reconstruction. 

Pedro is currently a part of the international project ELEVATION, researching novel AI based solutions for real-time free viewpoint video generation, specifically in the context of novel view synthesis in broadcast applications. Speciallizing in spatial reconstruction techniques such as Gaussian Splatting and in complex Deep Learning frameworks such as Vision Transformers.

Pedro Quesado received his MSc degree in Data Science and Engineering from the University of Coimbra, in Portugal in 2024. Pedro did his masters research at Roche Diagnostics in Germany in Transformer-based biomarker discovery where he developed AI models to predict novel protein biomarkers as a pre-selection method to filter protein leads, thus saving time and costs in laboratorial validation.