Professor
Leana Golubchik is Professor of Computer Science at USC, with joint appointment in Electrical Engineering. Before, she was Associate Professor at the University of Maryland, and Assistant Professor at Columbia University. Leana received her Ph.D. from UCLA. Her research interests are broadly in the design and evaluation of large scale distributed systems, with an emphasis on analysis techniques needed for rapid evaluation of design ideas that lead to insight about systems' performance and reliability.
Senior Research Associate
Marco Paolieri received his Ph.D. in Computer Science from the University of Florence (Italy) in 2015 and was a postdoc at USC 2016-2018. His research focuses on stochastic models for performance and reliability evaluation, solution techniques for non-Markovian processes, concurrent and distributed systems.
Wumo Yan
Ph.D. Student in Computer Science
Wumo Yan received his B.S. in Electrical Engineering and Computer Science from National Tsing Hua University in 2017. His current research focuses on distributed machine learning systems.
Christine Chao
Ph.D. Student in Computer Science
Christine received her B.S. in Operations Research from Columbia University in 2018. Her current research focuses on scheduling of parallel jobs on distributed computer systems.
Sara Babakniya
Ph.D. Student in Computer Science
Sara received her BS in Electrical Engineering (Telecommunications) from Sharif University of Technology in 2019. Her current research focuses on model search for deep learning.
Ph.D. Student in Computer Science
Bowen was a software engineer at Red Hat, Inc., who spent most of his time on projects in the Operator Framework and the Kubernetes Scheduler. Bowen received his M.S. degree from Boston University and a degree in BEng from the University of Victoria in Electrical and Computer Engineering. His research interests are mostly related to Cloud Computing or any distributed systems for problems in scheduling, data synchronization, and more.
Zhuojin Li
Ph.D. Student in Computer Science
Zhuojin received his M.S. in Computer Science from University of Southern California in 2020. His current research focuses on performance evaluation of distributed machine learning systems.
Meiyu Zhong
Ph.D. student at The University of Arizona
Applied Scientist at Amazon
Kai Song
Engineer at Google
University of Michigan, Ann Arbor
Performance and Capacity engineer at Facebook
System AI Engineer at VMware (Palo Alto)
Senior Performance Engineer at Couchbase (SF)
Senior Researcher at Nokia (Beijing)
Performance Engineer at Facebook (Menlo Park)
Engineer at Google
Dr. Yan Yang
Engineer at Facebook
Data Scientist at Fidelis Cybersecurity (DC)