Evangelos Georganas is a Research Scientist at Intel’s Parallel Computing Lab in Santa Clara, California since December 2016. Before joining Intel, he was an interim Postdoctoral Fellow in the Computational Research Division at the Lawrence Berkeley National Laboratory. He obtained his Ph.D. from UC Berkeley in Computer Science where he was advised by Prof. Katherine Yelick. He was affiliated with Berkeley Benchmarking and Optimization group and the ClaSS Group at Lawrence Berkeley National Laboratory. His research interests include High Performance Computing, Scientific Applications, Deep Learning and Computational Biology. His Ph.D. thesis was on scalable parallel algorithms for genome and metagenome analysis and he has also worked on communication-avoiding algorithms. Before joining UC Berkeley, he received his diploma in Electrical and Computer Engineering from National Technical University of Athens.