Dr. Fabrizio Leisen

Professor

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Biography

Fabrizio Leisen is a Professor in the Department of Mathematics at King's College London. He has previously held a professorship at the University of Nottingham and was a Reader at the University of Kent. Fabrizio has also served as an Assistant Professor in Spain at Universidad Carlos III de Madrid and Universidad de Navarra, alongside working as a Research Assistant at Università di Pavia. He obtained his PhD in Mathematics from Università di Modena e Reggio Emilia, with a thesis focusing on Probability. Fabrizio is an Associate Editor for 'Bayesian Analysis' and 'Statistics & Probability Letters' and has published extensively in Statistical Methods Applications. His research interests focus primarily on Bayesian inference and its applications, emphasizing Bayesian nonparametric methods. He has introduced priors to address scenarios where the usual exchangeability assumption does not apply, and he emphasizes the foundations of Bayesian Statistics, particularly prior elicitation from both objective and predictive perspectives. Key areas of his research include Bayesian Inference with a particular focus on nonparametric methods, model selection through knockoff procedures, and the study of Probability Stochastic Processes. In his teaching role, Fabrizio instructs in Computational Statistics and Probability and currently co-supervises a PhD student at Università di Bologna. His research group is known for its strengths in the design and analysis of experiments, time series, and Monte Carlo methods.

Research Interests

Requirements for King's College London

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:23
Reading
Required:23
Writing
Required:25
Speaking
Required:23
Total
Required:100
Prerequisites
Bachelor's degree in a relevant subject Quantitative competency (for some Economics/Finance programs)
Application Checklist
  • Official Transcripts
  • Personal Statement
  • Two Academic References
  • CV/Resume
  • English Language Proficiency Proof
Specialization Notes

Requirements are consistent across King's Business School and Social Science & Public Policy departments for standard Master's entries.