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Oxford Young Statisticians Seminar

Department of Statistics, University of Oxford

Seminar's schedule Google Calendar Mailing List

The Oxford Young Statisticians Seminar (OxYSS) is a series of junior seminars in which PhD students and postdocs from the University of Oxford working on statistics and machine learning present their research in an accessible manner. The aim is to provide insight into each other’s work and foster potential collaborations.

Seminar’s Schedule

For any question or request please contact Valentin Kilian.

You can also subscribe to our Google Calendar.

2025

Section Date Time Location Title Speaker
Keynote talk 05/03 11:00 Second floor Open Research Area, Department of Statistics The predictive approach to uncertainty quantification Vik Shirvaikar
Random Graphs 12/03 16:00 Roy Griffiths Room, Keble College Introduction to parameter estimation on random graphs Adrian Fischer
12/03 16:30 Roy Griffiths Room, Keble College Modelling Extremely Sparse Networks with Random Measures Valentin Kilian
Diffusion Models 26/03 17:00 Ground floor Social Area, Department of Statistics Diffusing through life, mindless and careless Chris Williams
26/03 17:30 Ground floor Social Area, Department of Statistics Understanding generalisation in diffusion models Tyler Farghly
Keynote talk 01/05 11:00 Second floor Open Research Area, Department of Statistics The interplay of scaling and generalization Amitis Shidani
Distinguished speaker 30/05 17:00 Ground floor Social Area, Department of Statistics Beating the odds: flexible models for predicting football scores Nick Zhang (University College Dublin)
Statistics meet
Probability		 18/06 11:30 Second floor Open Research Area, Department of Statistics Introduction to the Parabolic Anderson Model Léo Tyrpak (Probability)
18/06 12:00 Second floor Open Research Area, Department of Statistics Spectral Clustering for Directed Graphs Ning Zhang (Statistics)
Distinguished speaker:
Causal Inference		 09/07 17:00 Ground floor Social Area, Department of Statistics A vibes based introduction to causal inference Daniel Manela
09/07 17:30 Ground floor Social Area, Department of Statistics A latent causal inference framework for ordinal variables Martina Scauda (University of Cambridge)
Distinguished speaker 21/07 16:00 Second floor Open Research Area, Department of Statistics Partial order hierarchies Jessie Jiang (Google)
Distinguished speaker 20/08 11:00 Second floor Open Research Area, Department of Statistics Testing Symmetry on the Torus: Le Cam Theory Meets Stein’s Method Sophia Loizidou (University of Luxembourg)