Scientists have access to more data than ever before from new scanners and sequencing technologies to smartphones and wearables, from consortial and large scale global brain initiatives, and from increasingly complex multimodal studies. This growth of data has been accompanied by a new generation of computational technologies spanning community developed software for brain imaging, machine learning, and data management to large scale clusters and GPUs. In this talk, I will discuss this vibrant landscape, the opportunities it creates, and the challenges that confront researchers through examples of projects we are currently engaged in.

Speaker Bio: Satrajit Ghosh is a Principal Research Scientist at the McGovern Institute for Brain Research at MIT and an Assistant Professor of Otolaryngology at Harvard Medical School. He directs the Senseable Intelligence Group whose 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 human spoken communication, machine learning approaches to precision psychiatry and medicine, and preserving information for reproducible research.