Bio

I am the principal investigator of a collaborative project between the Technical University of Eindhoven (TU/e) and the Artificial and Natural Intelligence Toulouse Institute (ANITI), where I lead research on Robust Multimodal Continual Learning for Robotics. This work builds on my previous research in embodied reinforcement learning and sensorimotor representations, focusing on integrating multimodal AI architectures to enhance robotic adaptability in dynamic environments. By leveraging global latent workspace models and semantic-aware multimodal integration, we aim to develop AI systems capable of continual adaptation, cross-modal learning, and real-world generalization.​

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Previously, I was a postdoctoral research associate at ANITI and the Research Center for Brain and Cognition, where I worked with Rufin VanRullen’s team. My research focused on developing machine learning architectures that integrate global workspace theory with deep learning, aiming to understand how multimodal sensorimotor representations contribute to cognition, AI, and consciousness.

I was also a visiting scholar at the New York University Center for Mind, Brain and Consciousness. Under the supervision of David Chalmers, in collaboration with Luke Roelofs we explored the ethical and existential implications if science were to discover that consciousness extends beyond the biological realm to fundamental physical systems. 

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My earlier postdoctoral work with Fred Hamker’s group at the Technical University of Chemnitz involved neurocomputational modeling of reinforcement learning and cognitive control in spatial cognition, attention and conscious information processing, alongside projects in embodied AI. I also served as a research coordinator for Chemnitz’s Computer Science faculty, leading interdisciplinary collaboration efforts for faculty wide grant application.

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During my doctorate at the Institute of Cognitive Science at Osnabrück University in Peter König's lab, I investigated the role of embodiment in spatial cognition, designing and implementing a large-scale VR study to explore egocentric and allocentric memory processing. My early academic background in physics at Munich and Bonn centered on synaptic plasticity in memory formation and particle detection with machine learning, grounding my interdisciplinary approach to cognition and intelligence research.