Powered by its artificial intelligence software platform, nferX, nference's mission is to synthesize the exponentially growing biomedical knowledge. nferX uses state-of-the-art neural networks (shallow and deep learning models) for real-time, automated extraction of knowledge from the commercial, scientific and regulatory body of literature. The platform enables a diverse set of applications ranging from R&D to commercial strategy and operations in the life sciences ecosystem. The long-term goal of the nferX platform is to become the connecting fabric of the various silos of information that exist across health care.

Machine learning | Regulatory genomics | Immuno-oncologyAdvisor: Dr. Manolis Kellis (Computational Biology group), MIT CSAIL, Broad Institute of Harvard and MIT

Near-field radiative transfer simulations | Nanowire synthesisAdvisor: Dr. Arvind Narayanaswamy, Department of Mechanical Engineering