Ross Boczar (www.rossboczar.com, rjboczar@uw.edu) is a Postdoctoral Scholar at the University of Washington, associated with the Department of Electrical and Computer Engineering, the Institute for Foundations of Data Science, and the eScience Institute. He is advised by Prof. Maryam Fazel and Prof. Lillian J. Ratliff. His research interests include control theory, statistical learning theory, optimization, and other areas of applied mathematics. Recently, he has been exploring adversarial learning scenarios where a group of colluding users can learn and then exploit a firm’s deployed ML classifier.
