Adam Richie-Halford

Adam Richie-Halford is a data science postdoctoral fellow at the University of Washington’s eScience Institute. He received his B.S. in engineering physics from Embry-Riddle Aeronautical University, his M.S. in Physics from the California State University in Long Beach, and his Ph.D. in physics from the University of Washington, where he performed large-scale quantum Monte Carlo simulations of systems encountered in nuclear theory. Along the way he also served as a officer in the Air Force and as a Peace Corps volunteer in the Kingdom of Morocco.

Currently, Adam works with Professor Ariel Rokem to develop new statistical learning techniques for the analysis of neuroimaging data. Specifically he seeks to understand the biophysical properties of the brain’s white matter using large open datasets containing diffusion MRI images, such as the Human Connectome Project (HCP), the Healthy Brain Network (HBN) study, and the Adolescent Brain Cognitive Development (ABCD) study. He is also interested in developing open-source software tools to enable other neuroscientists to analyze and share large datasets. Adam is a member of the Software and Data Carpentry communities and invites you to find out more about him from his website or by sending him a message.