Our Team

In his doctoral and postdoctoral research, Stefanos focused on investigating genetically-defined and genetically-heterogeneous large neuron populations to uncover how they encode and control diverse instinctual behaviors.

His research interests include, but are not limited to understanding:
a) the biological and computational principles that enable robust cognitive and behavioral outcomes despite the inherent variability in the activity of relevant neuron populations
b) the implementation of plasticity to generate optimal behavioral expressions, and its reversal to extinguish pathophysiological behaviors when they emerge, and
c) the neural network, hormone, and neurotransmitter dynamics that actuate long-lasting internal states and the expression of individual behavioral actions.

Giada Spigolon is a senior scientist with extensive experience in neurobiological research, possessing deep expertise in advanced microscopy techniques such as confocal, light-sheet, and two-photon microscopy. As an integral member of the Stagkourakis laboratory, she supports multiple projects and leads cutting-edge investigations examining the roles of targeted neuronal populations in survival behaviors.

Zhen Su is a Wenner-Gren postdoctoral fellow with a PhD in network science from Humboldt-Universität zu Berlin. His background spans complex systems modeling across natural sciences, including pioneering work integrating network analysis with climatology to reveal global patterns of climate extremes. In the Stagkourakis Lab, Zhen bridges computational and systems neuroscience with network science to investigate the neural principles underlying instinctual behaviors. His work focuses on mapping the anatomical organization and information flow among neural circuits that drive behavior, identifying key computational motifs, and generating experimentally testable predictions to be assessed through application of advanced neurotechnologies and custom behavioral paradigms.

Inés is a KIRI (Karolinska Institute Research Incubator) funded postdoctoral fellow in the Stagkourakis Lab, working in collaboration with the Nyberg Lab at Karolinska Institute and SciLifeLab. Her postdoctoral work bridges experimental systems biology and molecular engineering, contributing to new viral and optical strategies for tagging, monitoring, and manipulating neural ensembles involved in survival behaviors. Alongside the KIRI project, Inés helps support and develop the experimental systems neuroscience arm of the lab, including behavioral paradigms, animal experiments, optical approaches, and circuit-level studies of internal states and instinctive behaviors.

Before joining the lab, Inés completed her PhD in Medicine at Karolinska Institute, where she studied how microbiota-derived bacterial peptidoglycans influence brain development, neural function, and behavior. Her background in mouse behavior, molecular biology, microbiota profiling, brain imaging, and neuroimmune interactions now supports the lab’s broader efforts to understand distributed neural circuits underlying survival behaviors.

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Magda is a neuroscientist driven by curiosity about how neural circuits give rise to brain function and dysfunction. She was a Fulbright Visiting Research Graduate Trainee at the University of Virginia, USA, where she explored gene therapies for temporal lobe epilepsy and mapped the brain circuits engaged by anesthesia. She brings hands-on expertise in single-unit recordings, ECoG, and immunohistochemistry. During her MSc, she investigated protein–lipid interactions in α-synuclein, a protein central to Parkinson’s disease pathology.

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Miguel is an aspiring Biomedical Engineer with entry-level proficiency in Signal Processing and Machine Learning pipelines in Python and Matlab applied to biosignals, specifically the Electroencephalogram (EEG) with a focus on Brain-Computer Interfaces (BCI). Further academic competencies and interests involve building circuitry (PCBs) related to signal acquisition/conditioning for Medical Devices, process control, and developing Android Applications in Java that monitor users' states. With experience in agile methodologies, his aim is to combine technology and medicine to advance medical knowledge, create solutions that enhance human health/well-being, and improve the overall efficiency of the healthcare system with reduced costs.

Xinyu works at the interface of computational biology and neuroscience, developing quantitative approaches to understand how complex biological systems change across behavioral and physiological states. Before joining the Stagkourakis Lab, he studied interpretable approaches to non-invasive neural decoding at KTH and EPFL. His current research focuses on extracting and modeling latent biological states from high-dimensional population data and determining how these states relate to behavior, environmental signals, and physiological processes, including those associated with metabolic and cardiovascular regulation.

Aeris is a visiting undergraduate student from the Biological Sciences program at Nanyang Technological University (NTU), Singapore. She has trained in multiple laboratories, developing a strong foundation in molecular and cell biology techniques. In the Stagkourakis Lab, she is expanding her expertise into systems neuroscience, acquiring skills in stereotaxic surgery, behavioural analysis, and advanced microscopy. Her work contributes to the lab’s investigation of molecular regulators of internal and behavioural states, with a particular focus on sex-dimorphic mechanisms.

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