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Stephanie Wang

Assistant Professor, Paul G. Allen School of Computer Science & Engineering

Stephanie Wang portrait

Research focus
Distributed systems, systems for data and machine learning, computer systems, programming languages

Education
Ph.D. Electrical Engineering & Computer Science, University of California, Berkeley, 2024
M.Eng. Electrical Engineering & Computer Science, Massachusetts Institute of Technology, 2016
B.S. Computer Science, Massachusetts Institute of Technology, 2015
B.S. Mathematics, Massachusetts Institute of Technology, 2015

Stephanie Wang joins the Paul G. Allen School of Computer Science & Engineering this fall as an assistant professor from Anyscale, where she worked on Ray Data as a software engineer. Wang is the co-creator and committer for the open-source project Ray, which has been used to train ChatGPT.

Wang’s research focuses on distributed systems, particularly on intermediate abstractions that improve high-performance, fault-tolerant, and domain-specific systems including in machine learning and data processing. Her interest in these systems and programming languages impacts computer architecture, memory, and potential applications for AI. Wang’s work has been recognized at USENIX and ACM.