Researcher | Research Overview
The Stamoulis laboratory at Boston Children's Hospital/Harvard Medical School is a computational Neuroscience laboratory that focuses on the development of novel computational approaches and mathematical models for the investigation of multi-scale brain dynamics. Our ultimate goals are to improve our fundamental understanding of the neural underpinnings of complex behaviors in the human brain and to identify robust neural signatures of neurological/neurodevelopmental disorders.
Our research activities lie at the intersection of Neuroscience, Biomedical Engineering and Data Science. The overarching goals of our current project are:
- Improve our fundamental understanding of the emergence and organization of functional networks in the typically developing brain from infancy to young adulthood
- Map the individual to the collective brain: Improve our understanding of how the individual connectome impacts collective behaviors.
- Improve our understanding of how dynamically-varying brain networks support cognitive function in ecologically-valid settings.
- Improve next-generation therapies for medically refractory epilepsy though novel integration of prediction models and multimodal data.
Our research is supported by the National Science Foundation (BRAIN and Harnessing the Data Revolution Initiatives) and the National Institutes of Health.
Researcher | Research Background
Dr. Stamoulis is currently Associate Professor of Pediatrics at Harvard Medical School. She completed both undergraduate and graduate studies at MIT. Following postdoctoral training in Neuroscience (MIT) and Biostatistics (Harvard School of Public Health), she joined the faculty at Harvard Medical School in 2009. Her broad research interests are in computational Neuroscience, Signal Processing, Neurostatistics and Data Science. She leads multiple projects that together aim to elucidate the evolving neural circuitry of the typically/atypically developing brain using large-scale brain datasets and novel computational tools.