Ashique KhudaBukhsh is currently a Project Scientist at the School of Computer Science, Carnegie Mellon University (CMU) mentored by Prof. Tom Mitchell. Prior to this role, he was a postdoc mentored by Prof. Jaime Carbonell at CMU. His PhD thesis (Computer Science Department, Carnegie Mellon University, also advised by Prof. Jaime Carbonell) focused on referral networks, an emerging area at the intersection of Active Learning and Game Theory. His Master's thesis at the University of British Columbia (UBC), advised by Prof. Kevin Leyton-Brown and Prof. Holger H. Hoos, focused on automated algorithm design for combinatorial hard problems. His current research focus is in Computational Social Science. In this field, he is interested in analyzing globally important events in South East Asia and developing methods for noisy social media texts generated in this linguistically diverse region.
With three published collections of poems to his credit, an experience of directing music at a New York theater play, occasional dabbling at journalism and column-writing, and a recent success at swimming 50 meters underwater (a navy seal requirement), Ashique enjoys his multiple distractions that keep him away from work.