Monday, 08.06.2026, 15:15 via Zoom

Supervised or Reinforced? Data-first methodologies for architectural machine learning.

Carl Eppinger  is a PhD candidate at CITA, Royal Danish Academy. His doctoral research focuses on Machine Learning supported adaptive robotic fabrication of graded biopolymer composites for architectural use. With it’s main goal to enhance the quality, precision and success rate of robotic biopolymer 3D printing, creating a more easily applicable system for the use of Biopolymer composites in the construction industry. Before starting his PhD, Carl was a Research Assistant contributing to CITA’s biopolymer research projects.

Gabriella Rossi, PhD is an Assistant Professor at CITA, Royal Danish Academy. Her research focuses on Machine Learning as an emerging modelling paradigm, and how it can change architectural practice. Her work and teaching emphasize architectural datasets and their applications for sustainable materials, performative design and adaptive robotic fabrication systems. She teaches the master programme Computation In Architecture at the Royal Danish Academy, and the AI and Architecture module at the MaCAD program at IaacC.