Satrajit Ghosh (http://satra.cogitatum.org/) is a Principal Research Scientist at the McGovern Institute for Brain Research at MIT and an Assistant Professor in the Department of Otolaryngology at Harvard Medical School. He is also the Director of Data Models and Integration project of ReproNim, an NIH P41 Center for Reproducible Neuroimaging Computation. He received his BS (with Honors) in Computer Science at the National University of Singapore and his PhD in Cognitive and Neural Systems from Boston University. He directs the Senseable Intelligence Group, which uses neuroimaging, speech communication, and machine learning to improve assessments and treatments for mental health. To support this effort, they build frameworks and use extensive collaborations to improve efficiency of analyses and reproducibility in science. His research interests span computer science and neuroscience, specifically in the areas of applied machine learning, signal processing, and translational medicine. His current research portfolio comprises projects on spoken communication, brain imaging, and informatics to address gaps in scientific knowledge in three areas: the neural basis and translational applications of speaking, precision psychiatry and medicine, and preserving information for reproducible research. He is a lead architect of the Nipype dataflow platform, an ardent proponent of decentralized and distributed Web solutions for data sharing, querying, and computing, and a strong believer in solving problems through collaboration and crowd-sourcing. To help accelerate building an open Commons for neuroscience, he is currently serving as a co-editor-in-chief for a new journal: BMC NeuroCommons.