Machine learning, speech/language/bioinformatics/music, submodularity & discrete optimization
Data visualization and analysis, human-computer interaction and social computing
Design, implementation, and analysis of high-performance computing and communication systems; data-intensive discovery (eScience); information technology and public policy
Nick is a postdoctoral researcher with the Taskar Center for Accessible Technology doing work in mapping and analyzing individual-level pedestrian accessibility of public spaces with graph theoretic interpretations of equity. His doctoral work involved the development of the OpenSidewalks and AccessMap projects that, respectively, define and collect open pedestrian transportation network data for a wide set of use cases and interpret that data into a user-friendly and individually-customizable web map.
Graduate Students (CSE)