Daniel García Rasines

I am a tenure-track Assistant Professor at CUNEF Universidad.

In 2024, I was awarded the David Cox Research Prize by the Royal Statistical Society.

In 2025, I received the SEIO-BBVA Foundation Award for best methodological contribution in statistics.

I am primarily interested in the foundations of statistical inference, including:

Post-selection inference
Confidence distributions
Bayesian-Fiducial-Frequentist interplay
The role of conditionality in modern statistics
Information-splitting methods (randomization, data splitting, conditioning)

If you are interested in discussing these topics or others, reach out to me at daniel.garciarasines@cunef.edu

Employment

2024-present: Assistant Professor, CUNEF Universidad

2022-2024: Chapman Fellow, Imperial College London

2021-2022: Postdoctoral Researcher, ICMAT-CSIC

Education

2017-2021: PhD in Statistics, Imperial College London

2016-2017: MSc in Statistics, Imperial College London

2012-2016: BSc in Mathematics, Universidad de Santiago de Compostela

Selected talks

13th International Conference on Multiple Comparison Procedures, Philadelphia, USA, 12-15 August 2025.

8th Symposium on Games and Decisions in Reliability and Risk, Milan, Italy, 28-30 May 2025.

Statistics Seminar, École Polytechnique Fédérale de Lausanne, Switzerland, 28 June 2024.

Joint Statistics Seminar, Department of Mathematics, KU Leuven, Belgium, 16 May 2024.

Department of Statistics and OR, University of Vienna, Austria, 6 May 2024.

Department of Quantitative Methods, CUNEF Universidad, Madrid, Spain, 7 February 2024.

Statistics Seminar, Imperial College London, 10 March 2023.

International Seminar on Selective Inference, 2 December 2021. Link to the talk.

Refereed articles and preprints

Battey, H., García Rasines, D. and Tang, Y. (2025). Post-reduction inference for confidence sets of models. arXiv:2507.10373. Code.

García Rasines, D. and Young, G.A. (2025). Sampling models for selective inference. Sankhya A (accepted).

García Rasines, D. and Young, G.A. (2025). Local asymptotics of selection models. arXiv:2311.08365.

García Rasines, D., Naveiro, R., Ríos Insua, D. and Rodríguez Santana, S. (2025). Personalized pricing decisions through adversarial risk analysis. Intl. Trans. in Op. Res. 32, 2034–2060.

García Rasines, D. and Young, G.A. (2023). Splitting strategies for post-selection inference. Biometrika 110(3), 597-614.

García Rasines, D. and Young, G.A. (2022). Empirical Bayes and selective inference. J Indian Inst Sci 102, 1205–1217.

Ríos Insua, D., Couce Vieira, A, Rubio, J. A., Pieters, W., Labunets, K. and García Rasines, D. (2021). An adversarial risk analysis framework for cybersecurity. Risk Anal. 41(1), 16-36.

Ríos Insua, D., Ruggeri, F. , Soyer R. and García Rasines, D. (2018). Adversarial issues in reliability. Eur. J. Oper. Res. 266(3), 1113-1119.

Other publications

García Rasines, D. and Young, G.A. (2025). Discussion of Leiner et al. `Data fission: splitting a single data point'. JASA, 120(549), 162–163.

García Rasines, D. and Young, G.A. (2022). Bayesian selective inference. Chapter 2 in “Advancements in Bayesian methods and implementation". Handbook of Statistics 47, 43–65. Elsevier.