Between 2014 and 2016, Dimitris was a postdoctoral researcher at UC Berkeley and a member of the AMPLab. His research interests span machine learning, information theory, and distributed systems, with a current focus on communication-avoiding training algorithms and erasure codes for robust distributed optimization. Dimitris earned his Ph.D. in ECE from UT Austin in 2014, under the supervision of Alex Dimakis. In 2015, he received the IEEE Signal Processing Society, Young Author Best Paper Award. In 2018, Dimitris was a founding organizer and Program Co-Chair for SysML, a new conference that targets research at the intersection of machine learning and systems.