Constanze Albrecht

Constanze Albrecht is a graduate student at the MIT Media Lab, Cyborg Psychology group, working at the intersection of neuroscience, artificial intelligence (AI), human–computer interaction (HCI), and emerging technology governance. She holds an MSc in Neuroinformatics from ETH/UZH Zurich and dual bachelor’s degrees in Engineering Science and Psychology from TUM and LMU.

Her current research focuses on Neuro-AI, leveraging modern AI methodologies, such as mechanistic interpretability, sparse feature decomposition, and representation analysis, to investigate how computational models can illuminate the structure and functional principles of the human brain. She is particularly interested in how insights from large-scale neural networks can inform next-generation tools for probing cognition, perception, and adaptive behavior.

Previously, Constanze’s work in neuro-engineering included investigating intracranial vasculature changes for stroke prediction with Prof. Ali Ertürk (Best Poster Award, Cambridge Symposium) and mapping visual cortex circuitry through single-neuron labeling at ETH Zurich’s Neurotechnology Lab. In HCI, she explored the effects of brain stimulation on visual search performance at LMU and later worked on 3D object reconstruction from EEG data and multimodal detection of physiological markers for reasoning and conflict at the Fluid Interfaces group at MIT.

Alongside her technical research, she has contributed to policy initiatives on the responsible development of AI and neurotechnology, with her work featured by the European Commission, UNESCO, and Stanford Law School.