Professional Summary
Hi, I’m Amy — a Berlin-based neuroscientist and artist interested in the complex organization of the human brain.
As a doctoral candidate in the Cognitive Neurology Lab, my scientific work incorporates multi-modal MRI, where I apply methods from information theory, stochastic analysis, and fractal geometry to investigate spatiotemporal properties of large-scale brain networks. I focus on linking local activity to global patterns of connectivity, with applications in normative populations and neurological disease, such as multiple sclerosis and autoimmune encephalitis.
Alongside research, I pursue an artistic practice that reflects on perception, structure, and complexity from outside the lab, offering a complementary lens on the systems that shape human experience. I enjoy bridging disciplines and finding creative ways to connect innovative research with broader human experience.
Education
PhD Medical Neuroscience
Charité – Universitätsmedizin Berlin
MS Medical Neuroscience
Charité – Universitätsmedizin Berlin
BS Behavioral Neuroscience
Northeastern University
Interests
My research investigates the organization of brain networks using both functional and structural MRI. On the functional side, I study the spatiotemporal dynamics of brain activity with methods such as weighted permutation entropy and functional connectivity, aiming to understand how local signal properties relate to large-scale connectivity patterns and how these relationships are altered in neurological disease. I am also interested in extending this work toward dynamical systems and whole-brain modeling, in order to test mechanistic accounts of network behavior.
On the structural side, I apply fractal geometry to describe the irregularity of brain morphology during development and in clinical populations. Fractal dimensionality provides a scale-invariant way to characterize structural form that extends beyond traditional volumetric approaches, offering new perspectives on how the brain’s shape evolves and changes in disease.
Looking forward, I am eager to integrate new methods across different spatial and temporal levels of analysis. Linking insights from genetics and microstructure to large-scale dynamics, to gain a deeper understanding of the principles that govern brain function and give rise to phenomenological, cognitive, and behavioral variability.
Please reach out to collaborate 😃