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
- 2026/07: Invited talk: Data Fusion with Equivalence Testing at PCIC 2026.
- 2026/05: Organizer: Invited session on The Use and Generation of Synthetic Data in Causal Inference at ACIC 2026. Also presenting posters on Frengression and Data Fusion with Equivalence Testing.
- 2026/03: New preprint: Data Fusion with Distributional Equivalence Test-then-pool.
- 2026/03: Academic visit: Seminar of Statistics, ETH Zurich, hosted by Professor Peter Bühlmann.
- 2026/01: Co-organizer: EuroCIM 2026 in Oxford.
- 2025/12: Talk: Generative models for causal inference at the first International New Researchers Conference.
- 2025/10: Award: ICSDS Student Travel Award.
- 2025/09: Talk: Frugal, Flexible, Faithful: Causal Data Simulation via Frengression at JICI 2025.
- 2025/08: New preprint: Frugal, Flexible, Faithful: Causal Data Simulation via Frengression. See also Robin Evans’ blog post for a nice overview.
- 2025/07: Invited talk: Frengression at the QMUL Causal Machine Learning Workshop.
- 2025/06: Award: Jesus College Graduate Scholarship.
- 2025/05: Paper accepted: Testing Generalizability in Causal Inference at UAI 2025.
- 2025/05: Talk: Outcome‑Informed Weighting for Robust ATE Estimation at ACIC 2025.
- 2025/04: Best Student Poster Award at EuroCIM 2025 for Outcome‑Informed Weighting for Robust ATE Estimation.
