Hello! I’m Linying Yang, a third‑year PhD candidate in the Department of Statistics at the University of Oxford, supervised by Professor Robin Evans, with additional advisory support from Professor Chris Holmes.

My research focuses on causal inference, with particular interests in distribution shifts, data fusion, and data simulation with generative models. I aim to develop methods with robust statistical guarantees and demonstrate their usefulness in real‑world applications.

I hold an M.S. in Computational & Mathematical Engineering from Stanford University and a B.S. in Statistics from Fudan University. Before beginning my doctorate, I worked as an AI Applied Scientist at Microsoft Research New England.

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News

• 2025/08: Our paper, Frugal, Flexible, Faithful: Causal Data Simulation via Frengression is on arXiv! Professor Robin Evans also wrote a blog post about it - his post gives a really nice overview, so do check it out!
• 2025/07: I had the privilege of giving an invited talk at the QMUL Causal Machine Learning Workshop on Frengression.
• 2025/06: I was honoured to be awarded the Jesus College Graduate Scholarship.
• 2025/05: Our paper, Testing Generalizability in Causal Inference, was accepted at UAI 2025!
• 2025/05: I gave a talk on Outcome‑Informed Weighting for Robust ATE Estimation at ACIC 2025.
• 2025/04: My poster on Outcome‑Informed Weighting for Robust ATE Estimation won the Best Student Poster Award at EuroCIM 2025!