Linying Yang

PhD student @ Department of Statistics, University of Oxford.

Hello! I’m Linying Yang, a final year PhD candidate in the Department of Statistics at the University of Oxford, supervised by Professor Robin Evans.

My research focuses on causal inference, with particular interests in distribution shifts, data fusion, data simulation with generative models and sequential modeling. 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.

I am the ED&I Fellow of the Department of Statistics and Division of MPLS at the University of Oxford. Please reach out if you have any problems!

News

  • 2026/05: I will be organizing an invited session on The Use and Generation of Synthetic Data in Causal Inference in ACIC 2026. I will also present two posters: one on Frengression, and the other on Data Fusion with Equivalence Testing.
  • 2026/03: Our paper, Data Fusion with Distributional Equivalence Test-then-pool is on arXiv!
  • 2026/03: I am on an academic visit at the Seminar of Statistics, Department of Mathematics, ETH Zurich, hosted by Professor Peter Bühlmann.
  • 2026/01: I am helping to organize EuroCIM 2026. See you in Oxford!
  • 2025/12: I attended the first International New Researchers Conference and shared my perspective on generative models for causal inference.
  • 2025/10: I was honoured to be awarded the ICSDS Student Travel Award. See you in Seville!
  • 2025/09: I gave a talk on Frugal, Flexible, Faithful: Causal Data Simulation via Frengression at JICI 2025.
  • 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!