García Rasines, Daniel

Quantitative Methods

PhD: Imperial College London

Office D4-15

Biography

Daniel holds a PhD in Statistics from Imperial College London (2021). He was a researcher at the DataLab of ICMAT and a Chapman Fellow at Imperial College. Since 2024, he has been an Assistant Professor on Tenure Track in the Department of Quantitative Methods at CUNEF Universidad. His research specializes in selective inference and adversarial risk analysis, and he has presented his work at international conferences and seminars. He received the 2024 David Cox Research Prize from the Royal Statistical Society, and the 2025 SEIO-FBBVA award for the best methodological contribution in statistics. He has teaching and supervisory experience at undergraduate and postgraduate levels.

Most relevant publications

García Rasines, D.; Young, G. A.: "Discussion of Leiner et al. Data fission: splitting a single data point", Journal of the American Statistical Association, 120(549), 162-163, 2025.

García Rasines, Daniel; Young, Alastair: "Splitting strategies for post-selection inference", Biometrika, 110(3), 597-614, 2023.

Ríos Insua, David; Couce Vieira, Aitor; Rubio, José Antonio; Pieters, Wolter; Labunets, Katsiaryna; García Rasines, Daniel: "An adversarial risk analysis framework for cybersecurity", Risk Analysis, 41(1), 16-36, 2021.

Ríos Insua, David; Ruggeri, Fabrizio; Soyer, Refik; García Rasines, Daniel: "Adversarial issues in reliability", European Journal of Operational Research, 266(3), 1113-1119, 2018.

Facebook Twitter LinkedIn