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
Adam Richie-Halford works with professor Ariel Rokem in the eScience Institute on the development of statistical learning techniques and software for the analysis of neuroimaging data. Adam's current research interests lie in extracting the biophysical properties of the brain's major white matter connections by leveraging large open datasets containing diffusion MRI images. He earned a Ph.D. in physics from the University of Washington.
Graduate Students (CSE)