Ignacio Serna
Independent Researcher | Max Planck Institute
I am an independent researcher funded by a CoefficientGiving (former Open Philanthropy) grant to study the geometry of learned representations in the joint space of vision encoders with other modalities. My work focuses on probing the limits of linear structure in large-scale neural networks and how concepts are faithfully captured by linear directions.
Current affiliations
- Visiting Researcher at the Max Planck Institute for Human Development (Center for Humans & Machines)
- Adjunct Professor at IE University
Background
PhD in Computer Science (2024, Autonomous University of Madrid) with a visiting stay at Caltech (California Institute of Technology) with Professor Pietro Perona . Previously postdoc at the Max Planck Institute with Iyad Rahwan. B.S. in Mathematics and a B.S. in Computer Science (2018), and an M.S. in Artificial Intelligence (2020).
My research sits at the intersection of computer vision, representation learning, and interpretability.