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Hi! I'm a mathematician and data scientist with a PhD in brain research. For more than ten years I've developed statistical methods and applied machine learning to turn large, complex datasets into insights people can use.
In my scientific research I studied the brain as a network: regions connected by wiring, much like cities on a road map. Using MRI scans from thousands of people, I mapped that wiring and looked at the differences and similarities between brain disorders. In a study of twelve psychiatric and neurological disorders, published in Nature Human Behaviour (PDF), we found that the connections affected most often across disorders are the "highways" between the brain's central regions. More recently, with brain scans from more than 25,000 people, we showed which brain characteristics are shared by symptoms of insomnia, depression and anxiety, and which belong to only one of them (Nature Mental Health, PDF).
Besides this applied research, I worked on the methods behind it, including CATO an open-source software toolbox that reconstructs brain networks from MRI scans, and I used spectral graph theory to "fingerprint" networks, such that they can be compared with one another.