Published multiple papers on motion capture and motion synthesis, such as 'From bias to balance: Leverage representation learning for bias-free MoCap solving' and 'BundleMoCap++: Efficient, robust and smooth motion capture from sparse multiview videos'.
Research Experience
CTO at Moverse, responsible for the company's technology research and development, integrating volumetric capture, AI, and human body simulation technology.
Education
PhD in Computer Vision from Universidad Politécnica de Madrid; BSc & MSc in EECS from Aristotle University of Thessaloniki.
Background
Engineer and scientist working at the intersection of computer vision, machine learning, and computer graphics. Currently the CTO of Moverse, where he leads the company’s technology research & development, unifying volumetric capture, AI, and human body simulation technology.
Miscellany
Participated in various events and talks, including Laval Virtual Tech Talk, Game Developers Conference 2025, and SIGGRAPH24 Exhibition.