I am a fifth-year Ph.D. candidate at MIT EECS where I am fortunate to be co-advised by Daniel Freund and Thodoris Lykouris at MIT Sloan

My research optimizes human decision-making for safer societies. Combining tools from machine learning and queueing theory, I design data-driven algorithms and provide practical insights for content moderation and the adjudication of legal proceedings. Three of my papers have been featured in INFORMS paper competitions, including the 2024 Public Sector Operations Research Best Paper Competition (2nd Place), the 2024 Service Science Best DEIJ Paper Award (1st Place), the 2024 Junior Faculty Interest Group Paper Competition (finalist), and the 2022 Applied Probability Society Best Student Paper Competition (finalist)

In the Summer of 2024, I was a research scientist intern with Central Applied Science at Meta, developing queue prioritization and measurement algorithms for content moderation. I obtained a B.E. in Computer Science in 2021 from Yao Class, Tsinghua University.

I am on the 2025-2026 academic job market!

Email: wweng (at) mit.edu

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