معرفی
Valentin Kilian is a DPhil (PhD) student and Lecturer in Mathematics and Statistics at the University of Oxford, affiliated with the Department of Statistics and Balliol College. He is supervised by François Caron and Benjamin Guedj, and his research is supported by the Clarendon Scholarship.
- Education
- École Normale Supérieure de Rennes (ENS Rennes), Mathematics Department
- M2 Mathematics of Randomness, Paris-Saclay University (2023)
- Ranked 39th in the agrégation of Mathematics
- Research Groups
- Computational Statistics and Machine Learning
- Statistical Theory and Methodology
Valentin’s research focuses on statistical models for real-world networks (sparse graphs) and their applications in machine learning. His work includes Bayesian inference, confidence sequences, and graph structure modeling.
His recent publications (2024–2025) emphasize sparse network modeling, anytime-valid inference, and Gaussian graphical models. Topics span Bayesian statistics, sequential analysis, and prediction-powered inference.
- Scientific Awards
- Clarendon Scholarship
He has served as DPhil IT in the Department of Statistics and authored a tutorial on Python usage via ARC. Valentin holds a GitHub repository for his internship research on opinion dynamics at UCL/Inria.
