Evey Liu recently finished her undergraduate study at the University of Waterloo for Computer Engineering. She will begin graduate school at the University of Toronto with supervisor Natalie Enright Jerger in January 2019. She is passionate about generic computer architecture and is open to explore different specializations within the field.

Sandhya Dwarkadas is the Walter N. Munster Professor and Chair of Computer Science at the University of Virginia. Previously, she was the Albert Arendt Hopeman Professor of Engineering at the University of Rochester, where she was professor of computer science with a secondary appointment in electrical and computer engineering, and also served as department chair for 6 years. She received the 2020 Edmund A. Hajim Outstanding Faculty Award from the University of Rochester. She received her Bachelor’s degree from the Indian Institute of Technology, Madras, India, and her M.S. and Ph.D. from Rice University. She is a fellow of the ACM and IEEE. She was co-chair of the CRA-WP board and steering committee from 2019-2022 and has been on the CRA-WP board since 2010.
Her areas of research interest include parallel and distributed computing, computer architecture, and the interaction and interface between the compiler, runtime/operating system, and underlying architecture. She has made fundamental contributions to the design and implementation of shared memory both in hardware and in software, and to hardware and software energy- and resource-aware configurability.

Sayeh Sharify received her B.Sc. degree in Computer Engineering from Sharif University of Technology in 2013, and her M.A.Sc. degree in Electrical Engineering from University of Toronto in 2015, where she is currently a third year Ph.D. student. Her research interests include computer architecture, machine learning, embedded systems, and reconfigurable computing. She is currently working on designing hardware accelerators for machine learning algorithms.

Tamara Silbergleit Lehman is a 5th year PhD candidate at Duke university. Her thesis work focuses on reducing overheads of secure memory. More broadly, her research interests lie on the intersection of computer architecture and security. She is also interested in memory systems, simulation methodologies and emerging technologies. Tamara has a Bachelor's degree from University of Florida in Industrial Engineering and a Masters degree in Computer Engineering from Duke University. Her latest publication on understanding metadata access patterns in secure memory at ISPASS 2018 won the best paper award. Her earlier work on developing a safe speculation mechanism for secure memory published in MICRO 2016 got an honorable mention in Micro Top Picks.