Richard Bonneau
In the area of structure prediction, Bonneau was one of the early authors on the Rosetta code, one of the first codes to demonstrate the ability to predict protein structure in the absence of sequence homology.[3][4][5] His group has made key contributions to the areas of genomics data analysis, focusing on two primary areas: 1. methods for network inference that uncover dynamics and topology from data and 2. methods that learn condition dependent co-regulated groups from integrations of different genomics data-types.[6] In 2013, he and his colleagues at NYU started a project to examine the impact of social media use on political attitudes and participation by applying methods from a range of academic disciplines.The project-- Social Media and Political Participation (SMaPP) --relies on both survey data and publicly available social media data to address a range of questions concerning the causal processes that shape political participation.Along with Vestienn Thorsson, David Reiss and Nitin Baliga he developed the Inferelator and cMonkey, two algorithms that were critical to an effort to learn a genome-wide model of the Halobacterium regulatory network.